[GigaCourse.Com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery

Creation Time	Aug. 16, 2024, 9:32 a.m.
Last Access Time	Sept. 30, 2024, 2:11 p.m.
File Size	34.1 GB
Keywords	Certificate 2021 - Udemy to Zero GigaCourse in Mastery TensorFlow Com Developer
Total Requests	18
Total Files	820
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 283.1 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 250.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4 237.4 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 218.0 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 216.3 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 207.8 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 200.1 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 198.3 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 197.3 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 193.0 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 186.0 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 184.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4 183.0 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 182.2 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 181.9 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 181.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 180.1 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 173.3 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 171.6 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 168.3 MB
10 NLP Fundamentals in TensorFlow/019 Model 3_ Building, fitting and evaluating a GRU-cell powered RNN.mp4 168.1 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/026 Model 1_ Building, compiling and fitting a deep learning model on Bitcoin data.mp4 167.3 MB
10 NLP Fundamentals in TensorFlow/020 Model 4_ Building, fitting and evaluating a bidirectional RNN model.mp4 167.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/035 Model 5_ Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.mp4 166.0 MB
10 NLP Fundamentals in TensorFlow/027 Fixing our data leakage issue with model 7 and retraining it.mp4 165.9 MB
10 NLP Fundamentals in TensorFlow/018 Model 2_ Building, fitting and evaluating our first TensorFlow RNN model (LSTM).mp4 165.9 MB
04 Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions.mp4 160.6 MB
10 NLP Fundamentals in TensorFlow/006 Becoming one with the data and visualising a text dataset.mp4 160.4 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/014 Building Model 2 (with a data augmentation layer and 10% of training data).mp4 159.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/020 Breaking our CNN model down part 10_ Visualizing our augmented data.mp4 157.6 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/014 Creating a confusion matrix for our model's 101 different classes.mp4 157.0 MB
04 Neural network classification in TensorFlow/018 Using callbacks to find a model's ideal learning rate.mp4 155.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/007 Building an end to end CNN Model.mp4 155.2 MB
03 Neural network regression with TensorFlow/025 Putting together what we've learned part 3 (improving our regression model).mp4 154.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/028 Model 2_ Building, fitting and evaluating a deep model with a larger window size.mp4 153.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/013 Building Model 1 (with a data augmentation layer and 1% of training data).mp4 153.0 MB
11 Milestone Project 2_ SkimLit/029 Model 5_ Completing the build of a tribrid embedding model for sequences.mp4 152.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/008 Downloading and inspecting our Bitcoin historical dataset.mp4 148.8 MB
10 NLP Fundamentals in TensorFlow/014 Creating a function to track and evaluate our model's results.mp4 148.8 MB
11 Milestone Project 2_ SkimLit/001 Introduction to Milestone Project 2_ SkimLit.mp4 148.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/045 Model 7_ Getting ready for residual connections.mp4 148.2 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/008 Getting a feature vector from our trained model.mp4 147.6 MB
04 Neural network classification in TensorFlow/015 Non-linearity part 5_ Replicating non-linear activation functions from scratch.mp4 146.3 MB
11 Milestone Project 2_ SkimLit/004 Setting up our notebook for Milestone Project 2 (getting the data).mp4 146.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/034 Model 4_ Building, fitting and evaluating a Conv1D model on our Bitcoin data.mp4 144.6 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/010 Comparing Our Model's Results.mp4 144.0 MB
03 Neural network regression with TensorFlow/023 Putting together what we've learned part 1 (preparing a dataset).mp4 143.6 MB
04 Neural network classification in TensorFlow/026 Multi-class classification part 3_ Building a multi-class classification model.mp4 142.4 MB
13 Passing the TensorFlow Developer Certificate Exam/005 How to prepare (your computer) for the TensorFlow Developer Certification.mp4 140.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/027 Multi-class CNN's part 1_ Becoming one with the data.mp4 140.2 MB
11 Milestone Project 2_ SkimLit/024 Model 4_ Building, fitting and evaluating a hybrid embedding model.mp4 139.0 MB
10 NLP Fundamentals in TensorFlow/023 Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).mp4 138.1 MB
04 Neural network classification in TensorFlow/016 Getting great results in less time by tweaking the learning rate.mp4 136.8 MB
11 Milestone Project 2_ SkimLit/035 Congratulations and your challenge before heading to the next module.mp4 135.8 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/005 Building and compiling a TensorFlow Hub feature extraction model.mp4 135.6 MB
10 NLP Fundamentals in TensorFlow/011 Creating an Embedding layer to turn tokenised text into embedding vectors.mp4 135.5 MB
02 Deep Learning and TensorFlow Fundamentals/010 Creating your first tensors with TensorFlow and tf.constant().mp4 134.7 MB
03 Neural network regression with TensorFlow/008 Steps in improving a model with TensorFlow part 3.mp4 132.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/007 Compiling and fitting our first Functional API model.mp4 132.8 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/002 Downloading and preparing data for our first transfer learning model.mp4 132.7 MB
11 Milestone Project 2_ SkimLit/005 Visualising examples from the dataset (becoming one with the data).mp4 132.6 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API.mp4 132.2 MB
09 Milestone Project 1_ Food Vision Big™/007 Batching and preparing our datasets (to make them run fast).mp4 132.2 MB
09 Milestone Project 1_ Food Vision Big™/006 Creating a preprocessing function to prepare our data for modelling.mp4 132.1 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/015 Evaluating every individual class in our dataset.mp4 131.9 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/002 Getting helper functions ready and downloading data to model.mp4 131.4 MB
11 Milestone Project 2_ SkimLit/019 Model 3_ Building, fitting and evaluating a Conv1D model on character embeddings.mp4 131.1 MB
10 NLP Fundamentals in TensorFlow/031 Downloading a pretrained model and preparing data to investigate predictions.mp4 131.1 MB
10 NLP Fundamentals in TensorFlow/034 Understanding the concept of the speed_score tradeoff.mp4 130.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/018 Breaking our CNN model down part 8_ Reducing overfitting with Max Pooling.mp4 130.5 MB
11 Milestone Project 2_ SkimLit/011 Creating a text vectoriser to map our tokens (text) to numbers.mp4 129.9 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/032 Multi-class CNN's part 6_ Trying to fix overfitting by removing layers.mp4 129.8 MB
04 Neural network classification in TensorFlow/033 What _patterns_ is our model learning_.mp4 127.9 MB
03 Neural network regression with TensorFlow/017 Setting up TensorFlow modelling experiments part 1 (start with a simple model).mp4 127.3 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/021 Plotting and visualising the samples our model got most wrong.mp4 125.5 MB
04 Neural network classification in TensorFlow/007 Building a not very good classification model with TensorFlow.mp4 125.5 MB
11 Milestone Project 2_ SkimLit/015 Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.mp4 124.7 MB
10 NLP Fundamentals in TensorFlow/002 Introduction to Natural Language Processing (NLP) and Sequence Problems.mp4 124.0 MB
04 Neural network classification in TensorFlow/013 Non-linearity part 3_ Upgrading our non-linear model with more layers.mp4 123.1 MB
04 Neural network classification in TensorFlow/010 Make our poor classification model work for a regression dataset.mp4 122.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/029 Model 3_ Building, fitting and evaluating a model with a larger horizon size.mp4 122.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/043 Model 7_ Creating a performant data pipeline for the N-BEATS model with tf.data.mp4 122.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/027 Creating a function to make predictions with our trained models.mp4 122.1 MB
03 Neural network regression with TensorFlow/024 Putting together what we've learned part 2 (building a regression model).mp4 121.1 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/033 Multi-class CNN's part 7_ Trying to fix overfitting with data augmentation.mp4 121.0 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/036 Investigating how to turn our univariate time series into multivariate.mp4 120.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/059 Model 9_ Creating a function to make forecasts into the future.mp4 119.5 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/012 Visualising what happens when images pass through our data augmentation layer.mp4 119.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/035 Multi-class CNN's part 9_ Making predictions with our model on custom images.mp4 119.1 MB
04 Neural network classification in TensorFlow/030 Multi-class classification part 7_ Evaluating our model.mp4 119.0 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/011 Building a data augmentation layer to use inside our model.mp4 117.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/054 Plotting the prediction intervals of our ensemble model predictions.mp4 117.4 MB
11 Milestone Project 2_ SkimLit/008 Turning our target labels into numbers (ML models require numbers).mp4 117.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/038 Preparing our multivariate time series for a model.mp4 117.3 MB
09 Milestone Project 1_ Food Vision Big™/004 Introduction to TensorFlow Datasets (TFDS).mp4 116.8 MB
09 Milestone Project 1_ Food Vision Big™/005 Exploring and becoming one with the data (Food101 from TensorFlow Datasets).mp4 116.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/055 (Optional) Discussing the types of uncertainty in machine learning.mp4 116.0 MB
10 NLP Fundamentals in TensorFlow/028 Comparing all our modelling experiments evaluation metrics.mp4 115.9 MB
11 Milestone Project 2_ SkimLit/032 Bringing SkimLit to life!!! (fitting and evaluating Model 5).mp4 115.6 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/011 Making predictions with our trained model on 25,250 test samples.mp4 115.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/008 Using a GPU to run our CNN model 5x faster.mp4 115.0 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/052 Discussing the importance of prediction intervals in forecasting.mp4 114.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/016 Model 0_ Making and visualizing a naive forecast model.mp4 114.3 MB
04 Neural network classification in TensorFlow/023 Making our confusion matrix prettier.mp4 114.1 MB
04 Neural network classification in TensorFlow/027 Multi-class classification part 4_ Improving performance with normalisation.mp4 113.3 MB
11 Milestone Project 2_ SkimLit/026 Encoding the line number feature to used with Model 5.mp4 112.9 MB
04 Neural network classification in TensorFlow/004 Typical architecture of neural network classification models with TensorFlow.mp4 112.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/033 Preparing data for building a Conv1D model.mp4 112.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/037 Creating and plotting a multivariate time series with BTC price and block reward.mp4 111.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/062 Model 10_ Building a model to predict on turkey data (why forecasting is BS).mp4 111.6 MB
02 Deep Learning and TensorFlow Fundamentals/029 Making sure our tensor operations run really fast on GPUs.mp4 110.9 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/009 Different Types of Transfer Learning.mp4 110.6 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/020 Writing code to uncover our model's most wrong predictions.mp4 109.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/012 Breaking our CNN model down part 2_ Preparing to load our data.mp4 109.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/063 Comparing the results of all of our models and discussing where to go next.mp4 109.5 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/017 Creating a function to load and prepare images for making predictions.mp4 109.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/021 Formatting data Part 2_ Creating a function to label our windowed time series.mp4 109.2 MB
10 NLP Fundamentals in TensorFlow/029 Uploading our model's training logs to TensorBoard and comparing them.mp4 109.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/061 Model 10_ Introducing the turkey problem and making data for it.mp4 108.2 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/022 Making predictions on and plotting our own custom images.mp4 108.1 MB
09 Milestone Project 1_ Food Vision Big™/012 Creating a feature extraction model capable of using mixed precision training.mp4 107.9 MB
11 Milestone Project 2_ SkimLit/030 Visually inspecting the architecture of our tribrid embedding model.mp4 107.9 MB
02 Deep Learning and TensorFlow Fundamentals/019 Matrix multiplication with tensors part 2.mp4 107.8 MB
09 Milestone Project 1_ Food Vision Big™/011 Turning on mixed precision training with TensorFlow.mp4 107.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/046 Model 7_ Outlining the steps we're going to take to build the N-BEATS model.mp4 107.5 MB
10 NLP Fundamentals in TensorFlow/004 The typical architecture of a Recurrent Neural Network (RNN).mp4 107.2 MB
11 Milestone Project 2_ SkimLit/016 Model 2_ Building, fitting and evaluating a Conv1D model with token embeddings.mp4 106.8 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/010 Improving our non-CNN model by adding more layers.mp4 106.4 MB
17 Appendix_ Pandas for Data Analysis/009 Selecting and Viewing Data with Pandas Part 2.mp4 106.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/060 Model 9_ Plotting our model's future forecasts.mp4 106.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/017 Breaking our CNN model down part 7_ Evaluating our CNN's training curves.mp4 106.2 MB
04 Neural network classification in TensorFlow/005 Creating and viewing classification data to model.mp4 106.1 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/008 Building and training a pre-trained EfficientNet model on our data.mp4 105.9 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/025 Writing a helper function to load and preprocessing custom images.mp4 105.1 MB
17 Appendix_ Pandas for Data Analysis/010 Manipulating Data.mp4 104.9 MB
10 NLP Fundamentals in TensorFlow/030 Saving and loading in a trained NLP model with TensorFlow.mp4 104.8 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/005 Becoming One With Data Part 2.mp4 104.6 MB
03 Neural network regression with TensorFlow/021 How to load and use a saved TensorFlow model.mp4 104.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/040 Model 7_ Discussing what we're going to be doing with the N-BEATS algorithm.mp4 104.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/022 Breaking our CNN model down part 12_ Discovering the power of shuffling data.mp4 103.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/013 Breaking our CNN model down part 3_ Loading our data with ImageDataGenerator.mp4 103.6 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/004 Exploring the TensorFlow Hub website for pretrained models.mp4 102.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/011 Reading in our Bitcoin data with Python's CSV module.mp4 102.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/018 Implementing MASE with TensorFlow.mp4 102.0 MB
02 Deep Learning and TensorFlow Fundamentals/014 Creating tensors from NumPy arrays.mp4 101.3 MB
10 NLP Fundamentals in TensorFlow/026 Model 7_ Building, training and evaluating a transfer learning model on 10% data.mp4 100.9 MB
02 Deep Learning and TensorFlow Fundamentals/018 Matrix multiplication with tensors part 1.mp4 100.9 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/009 Trying a non-CNN model on our image data.mp4 100.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.mp4 100.2 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning.mp4 100.0 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/026 Making a prediction on a custom image with our trained CNN.mp4 99.8 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/006 Blowing our previous models out of the water with transfer learning.mp4 99.7 MB
11 Milestone Project 2_ SkimLit/012 Creating a custom token embedding layer with TensorFlow.mp4 99.6 MB
11 Milestone Project 2_ SkimLit/031 Creating multi-level data input pipelines for Model 5 with the tf.data API.mp4 99.3 MB
10 NLP Fundamentals in TensorFlow/024 Model 6_ Building, training and evaluating a transfer learning model for NLP.mp4 99.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/017 Discussing some of the most common time series evaluation metrics.mp4 98.8 MB
13 Passing the TensorFlow Developer Certificate Exam/004 How to prepare (your brain) for the TensorFlow Developer Certification.mp4 98.2 MB
10 NLP Fundamentals in TensorFlow/010 Mapping the TextVectorization layer to text data and turning it into numbers.mp4 97.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/010 Downloading and preparing the data for Model 1 (1 percent of training data).mp4 97.7 MB
03 Neural network regression with TensorFlow/027 Preprocessing data with feature scaling part 2 (normalising our data).mp4 97.1 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/023 Fine-tuning Model 4 on 100% of the training data and evaluating its results.mp4 96.9 MB
04 Neural network classification in TensorFlow/014 Non-linearity part 4_ Modelling our non-linear data once and for all.mp4 96.6 MB
10 NLP Fundamentals in TensorFlow/017 High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.mp4 96.5 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/022 Preparing our final modelling experiment (Model 4).mp4 96.4 MB
02 Deep Learning and TensorFlow Fundamentals/024 Finding the positional minimum and maximum of a tensor (argmin and argmax).mp4 96.4 MB
04 Neural network classification in TensorFlow/011 Non-linearity part 1_ Straight lines and non-straight lines.mp4 95.7 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/024 Comparing our modelling experiment results in TensorBoard.mp4 95.7 MB
03 Neural network regression with TensorFlow/018 Setting up TensorFlow modelling experiments part 2 (increasing complexity).mp4 95.5 MB
17 Appendix_ Pandas for Data Analysis/005 Series, Data Frames and CSVs.mp4 95.4 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/003 Introducing Callbacks in TensorFlow and making a callback to track our models.mp4 94.6 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/021 Breaking our CNN model down part 11_ Training a CNN model on augmented data.mp4 94.2 MB
10 NLP Fundamentals in TensorFlow/013 Model 0_ Building a baseline model to try and improve upon.mp4 93.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/032 Comparing our modelling experiments so far and discussing autocorrelation.mp4 92.9 MB
03 Neural network regression with TensorFlow/026 Preprocessing data with feature scaling part 1 (what is feature scaling_).mp4 92.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/019 Creating a function to evaluate our model's forecasts with various metrics.mp4 92.2 MB
03 Neural network regression with TensorFlow/019 Comparing and tracking your TensorFlow modelling experiments.mp4 92.2 MB
03 Neural network regression with TensorFlow/020 How to save a TensorFlow model.mp4 92.2 MB
10 NLP Fundamentals in TensorFlow/025 Preparing subsets of data for model 7 (same as model 6 but 10% of data).mp4 91.6 MB
18 Appendix_ NumPy/014 Exercise_ Nut Butter Store Sales.mp4 91.3 MB
17 Appendix_ Pandas for Data Analysis/012 Manipulating Data 3.mp4 91.1 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/011 Breaking our CNN model down part 1_ Becoming one with the data.mp4 91.0 MB
11 Milestone Project 2_ SkimLit/013 Creating fast loading dataset with the TensorFlow tf.data API.mp4 90.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/024 Turning our windowed time series data into training and test sets.mp4 90.6 MB
03 Neural network regression with TensorFlow/007 Steps in improving a model with TensorFlow part 2.mp4 90.3 MB
02 Deep Learning and TensorFlow Fundamentals/013 Shuffling the order of tensors.mp4 90.0 MB
03 Neural network regression with TensorFlow/004 Creating sample regression data (so we can model it).mp4 90.0 MB
02 Deep Learning and TensorFlow Fundamentals/022 Tensor aggregation (finding the min, max, mean & more).mp4 89.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/029 Multi-class CNN's part 3_ Building a multi-class CNN model.mp4 89.3 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/002 Importing a script full of helper functions (and saving lots of space).mp4 89.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/030 Adjusting the evaluation function to work for predictions with larger horizons.mp4 89.2 MB
09 Milestone Project 1_ Food Vision Big™/015 Introducing your Milestone Project 1 challenge_ build a model to beat DeepFood.mp4 89.2 MB
09 Milestone Project 1_ Food Vision Big™/014 Training and evaluating a feature extraction model (Food Vision Big™).mp4 89.2 MB
04 Neural network classification in TensorFlow/019 Training and evaluating a model with an ideal learning rate.mp4 88.9 MB
02 Deep Learning and TensorFlow Fundamentals/012 Creating random tensors with TensorFlow.mp4 88.4 MB
09 Milestone Project 1_ Food Vision Big™/002 Making sure we have access to the right GPU for mixed precision training.mp4 88.1 MB
09 Milestone Project 1_ Food Vision Big™/013 Checking to see if our model is using mixed precision training layer by layer.mp4 87.7 MB
10 NLP Fundamentals in TensorFlow/012 Discussing the various modelling experiments we're going to run.mp4 87.7 MB
02 Deep Learning and TensorFlow Fundamentals/015 Getting information from your tensors (tensor attributes).mp4 87.5 MB
04 Neural network classification in TensorFlow/024 Putting things together with multi-class classification part 1_ Getting the data.mp4 87.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/031 Model 3_ Visualizing the results.mp4 86.7 MB
11 Milestone Project 2_ SkimLit/022 Model 4_ Plotting and visually exploring different data inputs.mp4 86.7 MB
02 Deep Learning and TensorFlow Fundamentals/016 Indexing and expanding tensors.mp4 86.4 MB
17 Appendix_ Pandas for Data Analysis/011 Manipulating Data 2.mp4 86.3 MB
18 Appendix_ NumPy/017 Turn Images Into NumPy Arrays.mp4 85.9 MB
11 Milestone Project 2_ SkimLit/010 Preparing our data for deep sequence models.mp4 85.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/014 Breaking our CNN model down part 4_ Building a baseline CNN model.mp4 85.1 MB
04 Neural network classification in TensorFlow/008 Trying to improve our not very good classification model.mp4 84.4 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/020 Comparing our model's results before and after fine-tuning.mp4 84.1 MB
11 Milestone Project 2_ SkimLit/023 Crafting multi-input fast loading tf.data datasets for Model 4.mp4 83.8 MB
18 Appendix_ NumPy/013 Dot Product vs Element Wise.mp4 83.8 MB
11 Milestone Project 2_ SkimLit/034 Saving, loading & testing our best performing model.mp4 83.5 MB
10 NLP Fundamentals in TensorFlow/005 Preparing a notebook for our first NLP with TensorFlow project.mp4 82.4 MB
10 NLP Fundamentals in TensorFlow/008 Converting text data to numbers using tokenisation and embeddings (overview).mp4 82.1 MB
11 Milestone Project 2_ SkimLit/028 Model 5_ Building the foundations of a tribrid embedding model.mp4 81.8 MB
03 Neural network regression with TensorFlow/010 Evaluating a TensorFlow model part 2 (the three datasets).mp4 81.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/039 Model 6_ Building, fitting and evaluating a multivariate time series model.mp4 81.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/053 Getting the upper and lower bounds of our prediction intervals.mp4 81.5 MB
11 Milestone Project 2_ SkimLit/009 Model 0_ Creating, fitting and evaluating a baseline model for SkimLit.mp4 81.5 MB
02 Deep Learning and TensorFlow Fundamentals/020 Matrix multiplication with tensors part 3.mp4 80.6 MB
18 Appendix_ NumPy/009 Manipulating Arrays.mp4 80.5 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.mp4 80.4 MB
18 Appendix_ NumPy/005 NumPy DataTypes and Attributes.mp4 78.8 MB
03 Neural network regression with TensorFlow/013 Evaluating a TensorFlow model part 5 (visualising a model's predictions).mp4 78.8 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with.mp4 78.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/015 Discussing the various modelling experiments were going to be running.mp4 78.2 MB
11 Milestone Project 2_ SkimLit/033 Comparing the performance of all of our modelling experiments.mp4 77.9 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/016 Plotting our model's F1-scores for each separate class.mp4 77.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/005 What can be forecast_.mp4 77.9 MB
10 NLP Fundamentals in TensorFlow/022 Model 5_ Building, fitting and evaluating a 1D CNN for text.mp4 77.8 MB
11 Milestone Project 2_ SkimLit/018 Creating a character-level embedding layer with tf.keras.layers.Embedding.mp4 77.6 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/016 Breaking our CNN model down part 6_ Compiling and fitting our baseline CNN.mp4 77.1 MB
10 NLP Fundamentals in TensorFlow/032 Visualising our model's most wrong predictions.mp4 77.0 MB
11 Milestone Project 2_ SkimLit/003 SkimLit inputs and outputs.mp4 76.8 MB
10 NLP Fundamentals in TensorFlow/033 Making and visualising predictions on the test dataset.mp4 76.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/002 Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.mp4 76.6 MB
02 Deep Learning and TensorFlow Fundamentals/004 What is deep learning already being used for_.mp4 76.3 MB
17 Appendix_ Pandas for Data Analysis/007 Describing Data with Pandas.mp4 75.6 MB
03 Neural network regression with TensorFlow/028 Preprocessing data with feature scaling part 3 (fitting a model on scaled data).mp4 75.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/056 Model 9_ Preparing data to create a model capable of predicting into the future.mp4 75.3 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/001 Introduction to Computer Vision with TensorFlow.mp4 75.1 MB
11 Milestone Project 2_ SkimLit/007 Performing visual data analysis on our preprocessed text.mp4 74.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/048 Model 7_ Plotting the N-BEATS algorithm we've created and admiring its beauty.mp4 74.1 MB
04 Neural network classification in TensorFlow/029 Multi-class classification part 6_ Finding the ideal learning rate.mp4 73.3 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/003 Downloading an image dataset for our first Food Vision model.mp4 73.0 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/028 Multi-class CNN's part 2_ Preparing our data (turning it into tensors).mp4 72.8 MB
04 Neural network classification in TensorFlow/001 Introduction to neural network classification in TensorFlow.mp4 72.8 MB
17 Appendix_ Pandas for Data Analysis/008 Selecting and Viewing Data with Pandas.mp4 72.3 MB
02 Deep Learning and TensorFlow Fundamentals/021 Changing the datatype of tensors.mp4 71.3 MB
11 Milestone Project 2_ SkimLit/002 What we're going to cover in Milestone Project 2 (NLP for medical abstracts).mp4 71.0 MB
02 Deep Learning and TensorFlow Fundamentals/011 Creating tensors with TensorFlow and tf.Variable().mp4 70.9 MB
18 Appendix_ NumPy/008 Viewing Arrays and Matrices.mp4 70.6 MB
03 Neural network regression with TensorFlow/014 Evaluating a TensorFlow model part 6 (common regression evaluation metrics).mp4 70.4 MB
03 Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 4 (visualising a model's layers).mp4 70.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/022 Discussing the use of windows and horizons in time series data.mp4 70.2 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/006 Fitting and evaluating our biggest transfer learning model yet.mp4 70.1 MB
02 Deep Learning and TensorFlow Fundamentals/023 Tensor troubleshooting example (updating tensor datatypes).mp4 69.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/036 Saving and loading our trained CNN model.mp4 69.4 MB
02 Deep Learning and TensorFlow Fundamentals/005 What is and why use TensorFlow_.mp4 69.2 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/019 Fitting and evaluating Model 3 (our first fine-tuned model).mp4 69.2 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/015 Creating a ModelCheckpoint to save our model's weights during training.mp4 68.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/016 Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).mp4 68.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/014 Creating a plotting function to visualize our time series data.mp4 68.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/009 Different kinds of time series patterns & different amounts of feature variables.mp4 68.1 MB
18 Appendix_ NumPy/010 Manipulating Arrays 2.mp4 67.8 MB
03 Neural network regression with TensorFlow/022 (Optional) How to save and download files from Google Colab.mp4 67.7 MB
03 Neural network regression with TensorFlow/009 Evaluating a TensorFlow model part 1 (_visualise, visualise, visualise_).mp4 67.0 MB
18 Appendix_ NumPy/006 Creating NumPy Arrays.mp4 66.8 MB
17 Appendix_ Pandas for Data Analysis/014 How To Download The Course Assignments.mp4 66.7 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance.mp4 66.2 MB
11 Milestone Project 2_ SkimLit/025 Model 5_ Adding positional embeddings via feature engineering (overview).mp4 66.2 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/019 Breaking our CNN model down part 9_ Reducing overfitting with data augmentation.mp4 66.2 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/001 What is and why use transfer learning_.mp4 65.8 MB
04 Neural network classification in TensorFlow/022 Creating our first confusion matrix (to see where our model is getting confused).mp4 65.7 MB
04 Neural network classification in TensorFlow/032 Multi-class classification part 9_ Visualising random model predictions.mp4 65.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/003 What is a time series problem and example forecasting problems at Uber.mp4 65.1 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/025 Creating a modelling checkpoint callback to save our best performing model.mp4 64.9 MB
11 Milestone Project 2_ SkimLit/027 Encoding the total lines feature to be used with Model 5.mp4 64.3 MB
10 NLP Fundamentals in TensorFlow/003 Example NLP inputs and outputs.mp4 64.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/058 Model 9_ Discussing what's required for our model to make future predictions.mp4 64.2 MB
09 Milestone Project 1_ Food Vision Big™/008 Exploring what happens when we batch and prefetch our data.mp4 63.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/012 Creating train and test splits for time series (the wrong way).mp4 63.6 MB
02 Deep Learning and TensorFlow Fundamentals/003 What are neural networks_.mp4 63.4 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/017 Loading and comparing saved weights to our existing trained Model 2.mp4 62.5 MB
02 Deep Learning and TensorFlow Fundamentals/002 Why use deep learning_.mp4 62.3 MB
04 Neural network classification in TensorFlow/017 Using the TensorFlow History object to plot a model's loss curves.mp4 62.1 MB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/007 Plotting the loss curves of our ResNet feature extraction model.mp4 62.0 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/007 Time series forecasting inputs and outputs.mp4 61.9 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/001 Introduction to Transfer Learning in TensorFlow Part 2_ Fine-tuning.mp4 61.4 MB
09 Milestone Project 1_ Food Vision Big™/009 Creating modelling callbacks for our feature extraction model.mp4 60.6 MB
16 Appendix_ Machine Learning and Data Science Framework/005 Types of Machine Learning Problems.mp4 60.4 MB
11 Milestone Project 2_ SkimLit/020 Discussing how we're going to build Model 4 (character + token embeddings).mp4 60.3 MB
03 Neural network regression with TensorFlow/001 Introduction to Neural Network Regression with TensorFlow.mp4 60.1 MB
10 NLP Fundamentals in TensorFlow/007 Splitting data into training and validation sets.mp4 59.9 MB
02 Deep Learning and TensorFlow Fundamentals/026 One-hot encoding tensors.mp4 59.7 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/030 Multi-class CNN's part 4_ Fitting a multi-class CNN model to the data.mp4 59.7 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/020 Discussing other non-TensorFlow kinds of time series forecasting models.mp4 59.4 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/019 Discussing the benefits of finding your model's most wrong predictions.mp4 59.2 MB
03 Neural network regression with TensorFlow/003 Anatomy and architecture of a neural network regression model.mp4 59.0 MB
04 Neural network classification in TensorFlow/012 Non-linearity part 2_ Building our first neural network with non-linearity.mp4 59.0 MB
01 Introduction/001 Course Outline.mp4 58.0 MB
03 Neural network regression with TensorFlow/002 Inputs and outputs of a neural network regression model.mp4 57.5 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/009 Saving and loading our trained model.mp4 57.4 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/021 Downloading and preparing data for our biggest experiment yet (Model 4).mp4 56.7 MB
03 Neural network regression with TensorFlow/015 Evaluating a TensorFlow regression model part 7 (mean absolute error).mp4 56.0 MB
02 Deep Learning and TensorFlow Fundamentals/027 Trying out more tensor math operations.mp4 55.8 MB
13 Passing the TensorFlow Developer Certificate Exam/002 What is the TensorFlow Developer Certification_.mp4 54.9 MB
18 Appendix_ NumPy/012 Reshape and Transpose.mp4 53.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/024 Downloading a custom image to make predictions on.mp4 53.1 MB
18 Appendix_ NumPy/007 NumPy Random Seed.mp4 52.0 MB
13 Passing the TensorFlow Developer Certificate Exam/003 Why the TensorFlow Developer Certification_.mp4 51.5 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/009 Drilling into the concept of a feature vector (a learned representation).mp4 51.5 MB
18 Appendix_ NumPy/011 Standard Deviation and Variance.mp4 51.2 MB
04 Neural network classification in TensorFlow/003 Input and output tensors of classification problems.mp4 51.0 MB
04 Neural network classification in TensorFlow/002 Example classification problems (and their inputs and outputs).mp4 50.6 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/013 Confirming our model's predictions are in the same order as the test labels.mp4 50.6 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/023 Breaking our CNN model down part 13_ Exploring options to improve our model.mp4 50.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/013 Creating train and test splits for time series (the right way).mp4 48.7 MB
04 Neural network classification in TensorFlow/025 Multi-class classification part 2_ Becoming one with the data.mp4 48.5 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/057 Model 9_ Building, compiling and fitting a future predictions model.mp4 47.7 MB
03 Neural network regression with TensorFlow/006 Steps in improving a model with TensorFlow part 1.mp4 45.9 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/004 Becoming One With Data.mp4 45.6 MB
02 Deep Learning and TensorFlow Fundamentals/017 Manipulating tensors with basic operations.mp4 45.0 MB
16 Appendix_ Machine Learning and Data Science Framework/012 Modelling - Comparison.mp4 44.8 MB
02 Deep Learning and TensorFlow Fundamentals/028 Exploring TensorFlow and NumPy's compatibility.mp4 43.8 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/012 Unravelling our test dataset for comparing ground truth labels to predictions.mp4 43.8 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/049 Model 8_ Ensemble model overview.mp4 43.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/034 Multi-class CNN's part 8_ Things you could do to improve your CNN model.mp4 43.3 MB
15 Appendix_ Machine Learning Primer/004 Exercise_ Machine Learning Playground.mp4 42.5 MB
09 Milestone Project 1_ Food Vision Big™/001 Introduction to Milestone Project 1_ Food Vision Big™.mp4 42.3 MB
04 Neural network classification in TensorFlow/020 Introducing more classification evaluation methods.mp4 42.2 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/010 Visualizing our Bitcoin historical data with pandas.mp4 41.8 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/001 Introduction to Transfer Learning Part 3_ Scaling Up.mp4 41.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/031 Multi-class CNN's part 5_ Evaluating our multi-class CNN model.mp4 41.1 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/003 Outlining the model we're going to build and building a ModelCheckpoint callback.mp4 40.6 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/004 Creating a data augmentation layer to use with our model.mp4 40.5 MB
04 Neural network classification in TensorFlow/031 Multi-class classification part 8_ Creating a confusion matrix.mp4 40.5 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/006 Becoming One With Data Part 3.mp4 39.8 MB
04 Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data.mp4 38.1 MB
16 Appendix_ Machine Learning and Data Science Framework/008 Features In Data.mp4 36.8 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/002 Introduction to Milestone Project 3 (BitPredict) & where you can get help.mp4 36.4 MB
02 Deep Learning and TensorFlow Fundamentals/001 What is deep learning_.mp4 34.2 MB
04 Neural network classification in TensorFlow/021 Finding the accuracy of our classification model.mp4 34.0 MB
18 Appendix_ NumPy/016 Sorting Arrays.mp4 32.8 MB
03 Neural network regression with TensorFlow/016 Evaluating a TensorFlow regression model part 7 (mean square error).mp4 32.3 MB
09 Milestone Project 1_ Food Vision Big™/003 Getting helper functions ready.mp4 31.2 MB
15 Appendix_ Machine Learning Primer/005 How Did We Get Here_.mp4 30.5 MB
02 Deep Learning and TensorFlow Fundamentals/025 Squeezing a tensor (removing all 1-dimension axes).mp4 30.1 MB
02 Deep Learning and TensorFlow Fundamentals/007 What we're going to cover throughout the course.mp4 29.4 MB
16 Appendix_ Machine Learning and Data Science Framework/006 Types of Data.mp4 29.3 MB
15 Appendix_ Machine Learning Primer/002 What is Machine Learning_.mp4 28.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/004 Example forecasting problems in daily life.mp4 27.8 MB
02 Deep Learning and TensorFlow Fundamentals/006 What is a Tensor_.mp4 27.6 MB
16 Appendix_ Machine Learning and Data Science Framework/009 Modelling - Splitting Data.mp4 27.5 MB
17 Appendix_ Pandas for Data Analysis/004 Pandas Introduction.mp4 27.4 MB
16 Appendix_ Machine Learning and Data Science Framework/015 Tools We Will Use.mp4 27.3 MB
18 Appendix_ NumPy/003 NumPy Introduction.mp4 26.9 MB
04 Neural network classification in TensorFlow/028 Multi-class classification part 5_ Comparing normalised and non-normalised data.mp4 26.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API.mp4 26.4 MB
18 Appendix_ NumPy/015 Comparison Operators.mp4 26.4 MB
02 Deep Learning and TensorFlow Fundamentals/008 How to approach this course.mp4 26.1 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/006 What we're going to cover (broadly).mp4 25.6 MB
15 Appendix_ Machine Learning Primer/009 What Is Machine Learning_ Round 2.mp4 25.5 MB
16 Appendix_ Machine Learning and Data Science Framework/004 6 Step Machine Learning Framework.mp4 23.4 MB
16 Appendix_ Machine Learning and Data Science Framework/010 Modelling - Picking the Model.mp4 23.2 MB
15 Appendix_ Machine Learning Primer/007 Types of Machine Learning.mp4 22.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/025 How to view and delete previous TensorBoard experiments.mp4 21.9 MB
16 Appendix_ Machine Learning and Data Science Framework/014 Experimentation.mp4 21.3 MB
15 Appendix_ Machine Learning Primer/003 AI_Machine Learning_Data Science.mp4 19.7 MB
15 Appendix_ Machine Learning Primer/006 Exercise_ YouTube Recommendation Engine.mp4 19.4 MB
16 Appendix_ Machine Learning and Data Science Framework/007 Types of Evaluation.mp4 17.7 MB
13 Passing the TensorFlow Developer Certificate Exam/006 What to do after the TensorFlow Developer Certification exam.mp4 17.0 MB
16 Appendix_ Machine Learning and Data Science Framework/011 Modelling - Tuning.mp4 16.0 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/004 Discussing the four (actually five) modelling experiments we're running.mp4 15.8 MB
18 Appendix_ NumPy/002 Section Overview.mp4 13.3 MB
16 Appendix_ Machine Learning and Data Science Framework/002 Section Overview.mp4 13.3 MB
16 Appendix_ Machine Learning and Data Science Framework/003 Introducing Our Framework.mp4 11.4 MB
17 Appendix_ Pandas for Data Analysis/002 Section Overview.mp4 10.9 MB
18 Appendix_ NumPy/414 numpy-images.zip 7.3 MB
15 Appendix_ Machine Learning Primer/010 Section Review.mp4 5.6 MB
17 Appendix_ Pandas for Data Analysis/388 pandas-anatomy-of-a-dataframe.png 333.2 KB
17 Appendix_ Pandas for Data Analysis/394 pandas-anatomy-of-a-dataframe.png 333.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.en.srt 32.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.en.srt 31.4 KB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.en.srt 31.0 KB
10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.en.srt 31.0 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.en.srt 30.0 KB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.en.srt 29.8 KB
10 NLP Fundamentals in TensorFlow/020 Model 4_ Building, fitting and evaluating a bidirectional RNN model.en.srt 28.3 KB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.en.srt 28.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/028 Model 2_ Building, fitting and evaluating a deep model with a larger window size.en.srt 27.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.en.srt 27.2 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/007 Building an end to end CNN Model.en.srt 27.1 KB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.en.srt 27.0 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).en.srt 27.0 KB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.en.srt 26.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/026 Model 1_ Building, compiling and fitting a deep learning model on Bitcoin data.en.srt 26.8 KB
04 Neural network classification in TensorFlow/018 Using callbacks to find a model's ideal learning rate.en.srt 25.9 KB
02 Deep Learning and TensorFlow Fundamentals/010 Creating your first tensors with TensorFlow and tf.constant().en.srt 25.8 KB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.en.srt 25.6 KB
10 NLP Fundamentals in TensorFlow/018 Model 2_ Building, fitting and evaluating our first TensorFlow RNN model (LSTM).en.srt 25.6 KB
10 NLP Fundamentals in TensorFlow/019 Model 3_ Building, fitting and evaluating a GRU-cell powered RNN.en.srt 24.9 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.en.srt 24.6 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/014 Building Model 2 (with a data augmentation layer and 10% of training data).en.srt 24.4 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.en.srt 23.7 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/027 Multi-class CNN's part 1_ Becoming one with the data.en.srt 23.7 KB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).en.srt 23.5 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.en.srt 23.4 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/013 Building Model 1 (with a data augmentation layer and 1% of training data).en.srt 23.4 KB
09 Milestone Project 1_ Food Vision Big™/005 Exploring and becoming one with the data (Food101 from TensorFlow Datasets).en.srt 23.3 KB
10 NLP Fundamentals in TensorFlow/006 Becoming one with the data and visualising a text dataset.en.srt 23.1 KB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.en.srt 23.1 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.en.srt 23.0 KB
11 Milestone Project 2_ SkimLit/001 Introduction to Milestone Project 2_ SkimLit.en.srt 22.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.en.srt 22.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/035 Model 5_ Building, fitting and evaluating a LSTM (RNN) model on our Bitcoin data.en.srt 22.5 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/020 Breaking our CNN model down part 10_ Visualizing our augmented data.en.srt 22.5 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/010 Comparing Our Model's Results.en.srt 22.4 KB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).en.srt 22.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/008 Downloading and inspecting our Bitcoin historical dataset.en.srt 22.3 KB
04 Neural network classification in TensorFlow/026 Multi-class classification part 3_ Building a multi-class classification model.en.srt 22.1 KB
04 Neural network classification in TensorFlow/033 What _patterns_ is our model learning_.en.srt 21.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/034 Model 4_ Building, fitting and evaluating a Conv1D model on our Bitcoin data.en.srt 21.5 KB
13 Passing the TensorFlow Developer Certificate Exam/005 How to prepare (your computer) for the TensorFlow Developer Certification.en.srt 21.3 KB
10 NLP Fundamentals in TensorFlow/002 Introduction to Natural Language Processing (NLP) and Sequence Problems.en.srt 21.1 KB
18 Appendix_ NumPy/005 NumPy DataTypes and Attributes.en.srt 20.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/027 Creating a function to make predictions with our trained models.en.srt 20.6 KB
11 Milestone Project 2_ SkimLit/004 Setting up our notebook for Milestone Project 2 (getting the data).en.srt 20.5 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/063 Comparing the results of all of our models and discussing where to go next.en.srt 20.4 KB
10 NLP Fundamentals in TensorFlow/023 Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).en.srt 20.3 KB
04 Neural network classification in TensorFlow/016 Getting great results in less time by tweaking the learning rate.en.srt 20.2 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/015 Evaluating every individual class in our dataset.en.srt 20.2 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/018 Breaking our CNN model down part 8_ Reducing overfitting with Max Pooling.en.srt 20.0 KB
09 Milestone Project 1_ Food Vision Big™/007 Batching and preparing our datasets (to make them run fast).en.srt 20.0 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/061 Model 10_ Introducing the turkey problem and making data for it.en.srt 20.0 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/043 Model 7_ Creating a performant data pipeline for the N-BEATS model with tf.data.en.srt 19.9 KB
11 Milestone Project 2_ SkimLit/011 Creating a text vectoriser to map our tokens (text) to numbers.en.srt 19.8 KB
11 Milestone Project 2_ SkimLit/019 Model 3_ Building, fitting and evaluating a Conv1D model on character embeddings.en.srt 19.8 KB
04 Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions.en.srt 19.8 KB
17 Appendix_ Pandas for Data Analysis/009 Selecting and Viewing Data with Pandas Part 2.en.srt 19.8 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/005 Building and compiling a TensorFlow Hub feature extraction model.en.srt 19.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/062 Model 10_ Building a model to predict on turkey data (why forecasting is BS).en.srt 19.7 KB
11 Milestone Project 2_ SkimLit/008 Turning our target labels into numbers (ML models require numbers).en.srt 19.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/029 Model 3_ Building, fitting and evaluating a model with a larger horizon size.en.srt 19.6 KB
03 Neural network regression with TensorFlow/025 Putting together what we've learned part 3 (improving our regression model).en.srt 19.6 KB
09 Milestone Project 1_ Food Vision Big™/006 Creating a preprocessing function to prepare our data for modelling.en.srt 19.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/033 Preparing data for building a Conv1D model.en.srt 19.5 KB
03 Neural network regression with TensorFlow/023 Putting together what we've learned part 1 (preparing a dataset).en.srt 19.5 KB
10 NLP Fundamentals in TensorFlow/034 Understanding the concept of the speed_score tradeoff.en.srt 19.4 KB
11 Milestone Project 2_ SkimLit/024 Model 4_ Building, fitting and evaluating a hybrid embedding model.en.srt 19.4 KB
17 Appendix_ Pandas for Data Analysis/010 Manipulating Data.en.srt 19.3 KB
17 Appendix_ Pandas for Data Analysis/005 Series, Data Frames and CSVs.en.srt 19.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/055 (Optional) Discussing the types of uncertainty in machine learning.en.srt 19.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/021 Formatting data Part 2_ Creating a function to label our windowed time series.en.srt 19.1 KB
04 Neural network classification in TensorFlow/015 Non-linearity part 5_ Replicating non-linear activation functions from scratch.en.srt 19.1 KB
04 Neural network classification in TensorFlow/023 Making our confusion matrix prettier.en.srt 19.1 KB
11 Milestone Project 2_ SkimLit/029 Model 5_ Completing the build of a tribrid embedding model for sequences.en.srt 18.9 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/002 Downloading and preparing data for our first transfer learning model.en.srt 18.9 KB
11 Milestone Project 2_ SkimLit/003 SkimLit inputs and outputs.en.srt 18.8 KB
03 Neural network regression with TensorFlow/024 Putting together what we've learned part 2 (building a regression model).en.srt 18.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/036 Investigating how to turn our univariate time series into multivariate.en.srt 18.7 KB
10 NLP Fundamentals in TensorFlow/011 Creating an Embedding layer to turn tokenised text into embedding vectors.en.srt 18.6 KB
10 NLP Fundamentals in TensorFlow/028 Comparing all our modelling experiments evaluation metrics.en.srt 18.6 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/002 Getting helper functions ready and downloading data to model.en.srt 18.5 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/008 Getting a feature vector from our trained model.en.srt 18.5 KB
09 Milestone Project 1_ Food Vision Big™/004 Introduction to TensorFlow Datasets (TFDS).en.srt 18.3 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/014 Creating a confusion matrix for our model's 101 different classes.en.srt 18.3 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/038 Preparing our multivariate time series for a model.en.srt 18.2 KB
18 Appendix_ NumPy/014 Exercise_ Nut Butter Store Sales.en.srt 18.2 KB
03 Neural network regression with TensorFlow/017 Setting up TensorFlow modelling experiments part 1 (start with a simple model).en.srt 18.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/054 Plotting the prediction intervals of our ensemble model predictions.en.srt 18.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/016 Model 0_ Making and visualizing a naive forecast model.en.srt 18.1 KB
09 Milestone Project 1_ Food Vision Big™/012 Creating a feature extraction model capable of using mixed precision training.en.srt 18.1 KB
02 Deep Learning and TensorFlow Fundamentals/019 Matrix multiplication with tensors part 2.en.srt 18.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/060 Model 9_ Plotting our model's future forecasts.en.srt 18.0 KB
10 NLP Fundamentals in TensorFlow/027 Fixing our data leakage issue with model 7 and retraining it.en.srt 18.0 KB
18 Appendix_ NumPy/009 Manipulating Arrays.en.srt 17.9 KB
11 Milestone Project 2_ SkimLit/035 Congratulations and your challenge before heading to the next module.en.srt 17.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/045 Model 7_ Getting ready for residual connections.en.srt 17.9 KB
11 Milestone Project 2_ SkimLit/005 Visualising examples from the dataset (becoming one with the data).en.srt 17.8 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/017 Breaking our CNN model down part 7_ Evaluating our CNN's training curves.en.srt 17.8 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/020 Writing code to uncover our model's most wrong predictions.en.srt 17.8 KB
04 Neural network classification in TensorFlow/030 Multi-class classification part 7_ Evaluating our model.en.srt 17.7 KB
02 Deep Learning and TensorFlow Fundamentals/015 Getting information from your tensors (tensor attributes).en.srt 17.7 KB
02 Deep Learning and TensorFlow Fundamentals/016 Indexing and expanding tensors.en.srt 17.7 KB
03 Neural network regression with TensorFlow/008 Steps in improving a model with TensorFlow part 3.en.srt 17.5 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/052 Discussing the importance of prediction intervals in forecasting.en.srt 17.5 KB
10 NLP Fundamentals in TensorFlow/014 Creating a function to track and evaluate our model's results.en.srt 17.4 KB
11 Milestone Project 2_ SkimLit/026 Encoding the line number feature to used with Model 5.en.srt 17.3 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/007 Unfreezing some layers in our base model to prepare for fine-tuning.en.srt 17.3 KB
10 NLP Fundamentals in TensorFlow/031 Downloading a pretrained model and preparing data to investigate predictions.en.srt 17.2 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/012 Breaking our CNN model down part 2_ Preparing to load our data.en.srt 17.2 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/032 Multi-class CNN's part 6_ Trying to fix overfitting by removing layers.en.srt 17.1 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/033 Multi-class CNN's part 7_ Trying to fix overfitting with data augmentation.en.srt 17.0 KB
04 Neural network classification in TensorFlow/010 Make our poor classification model work for a regression dataset.en.srt 17.0 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/017 Discussing some of the most common time series evaluation metrics.en.srt 17.0 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/011 Making predictions with our trained model on 25,250 test samples.en.srt 16.9 KB
04 Neural network classification in TensorFlow/027 Multi-class classification part 4_ Improving performance with normalisation.en.srt 16.9 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/011 Building a data augmentation layer to use inside our model.en.srt 16.8 KB
03 Neural network regression with TensorFlow/004 Creating sample regression data (so we can model it).en.srt 16.8 KB
11 Milestone Project 2_ SkimLit/016 Model 2_ Building, fitting and evaluating a Conv1D model with token embeddings.en.srt 16.8 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/005 Becoming One With Data Part 2.en.srt 16.7 KB
04 Neural network classification in TensorFlow/007 Building a not very good classification model with TensorFlow.en.srt 16.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/011 Reading in our Bitcoin data with Python's CSV module.en.srt 16.6 KB
18 Appendix_ NumPy/013 Dot Product vs Element Wise.en.srt 16.6 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/001 What is and why use transfer learning_.en.srt 16.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/059 Model 9_ Creating a function to make forecasts into the future.en.srt 16.6 KB
03 Neural network regression with TensorFlow/018 Setting up TensorFlow modelling experiments part 2 (increasing complexity).en.srt 16.6 KB
10 NLP Fundamentals in TensorFlow/010 Mapping the TextVectorization layer to text data and turning it into numbers.en.srt 16.5 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/006 Creating our first model with the TensorFlow Keras Functional API.en.srt 16.5 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/007 Compiling and fitting our first Functional API model.en.srt 16.5 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/017 Creating a function to load and prepare images for making predictions.en.srt 16.4 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/024 Comparing our modelling experiment results in TensorBoard.en.srt 16.4 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/009 Different Types of Transfer Learning.en.srt 16.3 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/026 Making a prediction on a custom image with our trained CNN.en.srt 16.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/007 Time series forecasting inputs and outputs.en.srt 16.1 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/021 Plotting and visualising the samples our model got most wrong.en.srt 16.1 KB
10 NLP Fundamentals in TensorFlow/029 Uploading our model's training logs to TensorBoard and comparing them.en.srt 16.0 KB
10 NLP Fundamentals in TensorFlow/025 Preparing subsets of data for model 7 (same as model 6 but 10% of data).en.srt 15.9 KB
02 Deep Learning and TensorFlow Fundamentals/018 Matrix multiplication with tensors part 1.en.srt 15.9 KB
17 Appendix_ Pandas for Data Analysis/008 Selecting and Viewing Data with Pandas.en.srt 15.9 KB
10 NLP Fundamentals in TensorFlow/024 Model 6_ Building, training and evaluating a transfer learning model for NLP.en.srt 15.7 KB
02 Deep Learning and TensorFlow Fundamentals/014 Creating tensors from NumPy arrays.en.srt 15.7 KB
11 Milestone Project 2_ SkimLit/015 Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.en.srt 15.6 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/001 Introduction to Computer Vision with TensorFlow.en.srt 15.6 KB
04 Neural network classification in TensorFlow/029 Multi-class classification part 6_ Finding the ideal learning rate.en.srt 15.6 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/023 Fine-tuning Model 4 on 100% of the training data and evaluating its results.en.srt 15.5 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/022 Preparing our final modelling experiment (Model 4).en.srt 15.5 KB
17 Appendix_ Pandas for Data Analysis/011 Manipulating Data 2.en.srt 15.5 KB
11 Milestone Project 2_ SkimLit/032 Bringing SkimLit to life!!! (fitting and evaluating Model 5).en.srt 15.5 KB
10 NLP Fundamentals in TensorFlow/022 Model 5_ Building, fitting and evaluating a 1D CNN for text.en.srt 15.4 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/004 Exploring the TensorFlow Hub website for pretrained models.en.srt 15.3 KB
02 Deep Learning and TensorFlow Fundamentals/003 What are neural networks_.en.srt 15.3 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/022 Making predictions on and plotting our own custom images.en.srt 15.2 KB
04 Neural network classification in TensorFlow/004 Typical architecture of neural network classification models with TensorFlow.en.srt 15.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/037 Creating and plotting a multivariate time series with BTC price and block reward.en.srt 15.1 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/012 Visualising what happens when images pass through our data augmentation layer.en.srt 15.1 KB
02 Deep Learning and TensorFlow Fundamentals/029 Making sure our tensor operations run really fast on GPUs.en.srt 15.0 KB
04 Neural network classification in TensorFlow/005 Creating and viewing classification data to model.en.srt 15.0 KB
04 Neural network classification in TensorFlow/013 Non-linearity part 3_ Upgrading our non-linear model with more layers.en.srt 15.0 KB
16 Appendix_ Machine Learning and Data Science Framework/005 Types of Machine Learning Problems.en.srt 15.0 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/022 Breaking our CNN model down part 12_ Discovering the power of shuffling data.en.srt 14.9 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/008 Building and training a pre-trained EfficientNet model on our data.en.srt 14.9 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/003 Introducing Callbacks in TensorFlow and making a callback to track our models.en.srt 14.9 KB
17 Appendix_ Pandas for Data Analysis/007 Describing Data with Pandas.en.srt 14.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/032 Comparing our modelling experiments so far and discussing autocorrelation.en.srt 14.8 KB
02 Deep Learning and TensorFlow Fundamentals/002 Why use deep learning_.en.srt 14.7 KB
09 Milestone Project 1_ Food Vision Big™/014 Training and evaluating a feature extraction model (Food Vision Big™).en.srt 14.7 KB
03 Neural network regression with TensorFlow/010 Evaluating a TensorFlow model part 2 (the three datasets).en.srt 14.6 KB
09 Milestone Project 1_ Food Vision Big™/002 Making sure we have access to the right GPU for mixed precision training.en.srt 14.6 KB
17 Appendix_ Pandas for Data Analysis/012 Manipulating Data 3.en.srt 14.6 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/010 Improving our non-CNN model by adding more layers.en.srt 14.6 KB
03 Neural network regression with TensorFlow/027 Preprocessing data with feature scaling part 2 (normalising our data).en.srt 14.5 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/024 Turning our windowed time series data into training and test sets.en.srt 14.5 KB
18 Appendix_ NumPy/008 Viewing Arrays and Matrices.en.srt 14.5 KB
03 Neural network regression with TensorFlow/026 Preprocessing data with feature scaling part 1 (what is feature scaling_).en.srt 14.5 KB
09 Milestone Project 1_ Food Vision Big™/011 Turning on mixed precision training with TensorFlow.en.srt 14.5 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/020 Comparing our model's results before and after fine-tuning.en.srt 14.5 KB
04 Neural network classification in TensorFlow/011 Non-linearity part 1_ Straight lines and non-straight lines.en.srt 14.4 KB
11 Milestone Project 2_ SkimLit/030 Visually inspecting the architecture of our tribrid embedding model.en.srt 14.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/015 Discussing the various modelling experiments were going to be running.en.srt 14.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/019 Creating a function to evaluate our model's forecasts with various metrics.en.srt 14.4 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/025 Writing a helper function to load and preprocessing custom images.en.srt 14.3 KB
10 NLP Fundamentals in TensorFlow/017 High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.en.srt 14.3 KB
10 NLP Fundamentals in TensorFlow/012 Discussing the various modelling experiments we're going to run.en.srt 14.3 KB
04 Neural network classification in TensorFlow/024 Putting things together with multi-class classification part 1_ Getting the data.en.srt 14.3 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/046 Model 7_ Outlining the steps we're going to take to build the N-BEATS model.en.srt 14.3 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/006 Blowing our previous models out of the water with transfer learning.en.srt 14.3 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/021 Breaking our CNN model down part 11_ Training a CNN model on augmented data.en.srt 14.2 KB
04 Neural network classification in TensorFlow/032 Multi-class classification part 9_ Visualising random model predictions.en.srt 14.1 KB
10 NLP Fundamentals in TensorFlow/030 Saving and loading in a trained NLP model with TensorFlow.en.srt 14.1 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/005 Creating a headless EfficientNetB0 model with data augmentation built in.en.srt 14.0 KB
02 Deep Learning and TensorFlow Fundamentals/004 What is deep learning already being used for_.en.srt 14.0 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/013 Breaking our CNN model down part 3_ Loading our data with ImageDataGenerator.en.srt 14.0 KB
10 NLP Fundamentals in TensorFlow/004 The typical architecture of a Recurrent Neural Network (RNN).en.srt 14.0 KB
02 Deep Learning and TensorFlow Fundamentals/020 Matrix multiplication with tensors part 3.en.srt 13.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/040 Model 7_ Discussing what we're going to be doing with the N-BEATS algorithm.en.srt 13.8 KB
16 Appendix_ Machine Learning and Data Science Framework/012 Modelling - Comparison.en.srt 13.8 KB
03 Neural network regression with TensorFlow/019 Comparing and tracking your TensorFlow modelling experiments.en.srt 13.7 KB
03 Neural network regression with TensorFlow/007 Steps in improving a model with TensorFlow part 2.en.srt 13.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/003 What is a time series problem and example forecasting problems at Uber.en.srt 13.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/005 What can be forecast_.en.srt 13.6 KB
03 Neural network regression with TensorFlow/002 Inputs and outputs of a neural network regression model.en.srt 13.6 KB
10 NLP Fundamentals in TensorFlow/008 Converting text data to numbers using tokenisation and embeddings (overview).en.srt 13.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/039 Model 6_ Building, fitting and evaluating a multivariate time series model.en.srt 13.6 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/008 Using a GPU to run our CNN model 5x faster.en.srt 13.6 KB
02 Deep Learning and TensorFlow Fundamentals/012 Creating random tensors with TensorFlow.en.srt 13.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/044 Model 7_ Setting up hyperparameters for the N-BEATS algorithm.en.srt 13.6 KB
13 Passing the TensorFlow Developer Certificate Exam/004 How to prepare (your brain) for the TensorFlow Developer Certification.en.srt 13.6 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/010 Downloading and preparing the data for Model 1 (1 percent of training data).en.srt 13.5 KB
11 Milestone Project 2_ SkimLit/010 Preparing our data for deep sequence models.en.srt 13.5 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/011 Breaking our CNN model down part 1_ Becoming one with the data.en.srt 13.5 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/031 Model 3_ Visualizing the results.en.srt 13.5 KB
02 Deep Learning and TensorFlow Fundamentals/022 Tensor aggregation (finding the min, max, mean & more).en.srt 13.4 KB
10 NLP Fundamentals in TensorFlow/026 Model 7_ Building, training and evaluating a transfer learning model on 10% data.en.srt 13.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/018 Implementing MASE with TensorFlow.en.srt 13.4 KB
03 Neural network regression with TensorFlow/021 How to load and use a saved TensorFlow model.en.srt 13.4 KB
11 Milestone Project 2_ SkimLit/013 Creating fast loading dataset with the TensorFlow tf.data API.en.srt 13.3 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/022 Discussing the use of windows and horizons in time series data.en.srt 13.3 KB
04 Neural network classification in TensorFlow/001 Introduction to neural network classification in TensorFlow.en.srt 13.3 KB
04 Neural network classification in TensorFlow/008 Trying to improve our not very good classification model.en.srt 13.2 KB
02 Deep Learning and TensorFlow Fundamentals/013 Shuffling the order of tensors.en.srt 13.2 KB
11 Milestone Project 2_ SkimLit/012 Creating a custom token embedding layer with TensorFlow.en.srt 13.2 KB
10 NLP Fundamentals in TensorFlow/013 Model 0_ Building a baseline model to try and improve upon.en.srt 13.1 KB
18 Appendix_ NumPy/006 Creating NumPy Arrays.en.srt 13.0 KB
02 Deep Learning and TensorFlow Fundamentals/024 Finding the positional minimum and maximum of a tensor (argmin and argmax).en.srt 12.9 KB
11 Milestone Project 2_ SkimLit/033 Comparing the performance of all of our modelling experiments.en.srt 12.9 KB
11 Milestone Project 2_ SkimLit/022 Model 4_ Plotting and visually exploring different data inputs.en.srt 12.8 KB
10 NLP Fundamentals in TensorFlow/032 Visualising our model's most wrong predictions.en.srt 12.8 KB
03 Neural network regression with TensorFlow/003 Anatomy and architecture of a neural network regression model.en.srt 12.7 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/002 Introduction to Convolutional Neural Networks (CNNs) with TensorFlow.en.srt 12.6 KB
18 Appendix_ NumPy/010 Manipulating Arrays 2.en.srt 12.5 KB
04 Neural network classification in TensorFlow/014 Non-linearity part 4_ Modelling our non-linear data once and for all.en.srt 12.5 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/035 Multi-class CNN's part 9_ Making predictions with our model on custom images.en.srt 12.5 KB
03 Neural network regression with TensorFlow/013 Evaluating a TensorFlow model part 5 (visualising a model's predictions).en.srt 12.4 KB
04 Neural network classification in TensorFlow/019 Training and evaluating a model with an ideal learning rate.en.srt 12.4 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/008 Fine-tuning our feature extraction model and evaluating its performance.en.srt 12.4 KB
11 Milestone Project 2_ SkimLit/002 What we're going to cover in Milestone Project 2 (NLP for medical abstracts).en.srt 12.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/009 Different kinds of time series patterns & different amounts of feature variables.en.srt 12.3 KB
10 NLP Fundamentals in TensorFlow/005 Preparing a notebook for our first NLP with TensorFlow project.en.srt 12.2 KB
02 Deep Learning and TensorFlow Fundamentals/005 What is and why use TensorFlow_.en.srt 12.2 KB
10 NLP Fundamentals in TensorFlow/003 Example NLP inputs and outputs.en.srt 12.1 KB
10 NLP Fundamentals in TensorFlow/033 Making and visualising predictions on the test dataset.en.srt 12.1 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/009 Trying a non-CNN model on our image data.en.srt 12.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/012 Creating train and test splits for time series (the wrong way).en.srt 12.1 KB
04 Neural network classification in TensorFlow/022 Creating our first confusion matrix (to see where our model is getting confused).en.srt 12.0 KB
11 Milestone Project 2_ SkimLit/009 Model 0_ Creating, fitting and evaluating a baseline model for SkimLit.en.srt 12.0 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/006 Fitting and evaluating our biggest transfer learning model yet.en.srt 11.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/058 Model 9_ Discussing what's required for our model to make future predictions.en.srt 11.9 KB
11 Milestone Project 2_ SkimLit/028 Model 5_ Building the foundations of a tribrid embedding model.en.srt 11.9 KB
03 Neural network regression with TensorFlow/020 How to save a TensorFlow model.en.srt 11.9 KB
03 Neural network regression with TensorFlow/001 Introduction to Neural Network Regression with TensorFlow.en.srt 11.9 KB
13 Passing the TensorFlow Developer Certificate Exam/003 Why the TensorFlow Developer Certification_.en.srt 11.8 KB
17 Appendix_ Pandas for Data Analysis/014 How To Download The Course Assignments.en.srt 11.7 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/014 Breaking our CNN model down part 4_ Building a baseline CNN model.en.srt 11.7 KB
09 Milestone Project 1_ Food Vision Big™/015 Introducing your Milestone Project 1 challenge_ build a model to beat DeepFood.en.srt 11.7 KB
03 Neural network regression with TensorFlow/014 Evaluating a TensorFlow model part 6 (common regression evaluation metrics).en.srt 11.6 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/030 Adjusting the evaluation function to work for predictions with larger horizons.en.srt 11.5 KB
03 Neural network regression with TensorFlow/028 Preprocessing data with feature scaling part 3 (fitting a model on scaled data).en.srt 11.5 KB
11 Milestone Project 2_ SkimLit/007 Performing visual data analysis on our preprocessed text.en.srt 11.3 KB
11 Milestone Project 2_ SkimLit/023 Crafting multi-input fast loading tf.data datasets for Model 4.en.srt 11.3 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/007 Plotting the loss curves of our ResNet feature extraction model.en.srt 11.3 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/015 Creating a ModelCheckpoint to save our model's weights during training.en.srt 11.2 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/016 Plotting our model's F1-scores for each separate class.en.srt 11.2 KB
11 Milestone Project 2_ SkimLit/031 Creating multi-level data input pipelines for Model 5 with the tf.data API.en.srt 11.2 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/029 Multi-class CNN's part 3_ Building a multi-class CNN model.en.srt 11.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/056 Model 9_ Preparing data to create a model capable of predicting into the future.en.srt 11.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/025 Creating a modelling checkpoint callback to save our best performing model.en.srt 11.1 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/019 Fitting and evaluating Model 3 (our first fine-tuned model).en.srt 11.1 KB
18 Appendix_ NumPy/017 Turn Images Into NumPy Arrays.en.srt 11.1 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/048 Model 7_ Plotting the N-BEATS algorithm we've created and admiring its beauty.en.srt 10.9 KB
18 Appendix_ NumPy/007 NumPy Random Seed.en.srt 10.9 KB
11 Milestone Project 2_ SkimLit/018 Creating a character-level embedding layer with tf.keras.layers.Embedding.en.srt 10.9 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/053 Getting the upper and lower bounds of our prediction intervals.en.srt 10.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/014 Creating a plotting function to visualize our time series data.en.srt 10.8 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/003 Downloading an image dataset for our first Food Vision model.en.srt 10.7 KB
09 Milestone Project 1_ Food Vision Big™/013 Checking to see if our model is using mixed precision training layer by layer.en.srt 10.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/013 Creating train and test splits for time series (the right way).en.srt 10.7 KB
11 Milestone Project 2_ SkimLit/027 Encoding the total lines feature to be used with Model 5.en.srt 10.6 KB
11 Milestone Project 2_ SkimLit/025 Model 5_ Adding positional embeddings via feature engineering (overview).en.srt 10.6 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/001 Introduction to Transfer Learning Part 3_ Scaling Up.en.srt 10.5 KB
11 Milestone Project 2_ SkimLit/034 Saving, loading & testing our best performing model.en.srt 10.4 KB
04 Neural network classification in TensorFlow/025 Multi-class classification part 2_ Becoming one with the data.en.srt 10.4 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/028 Multi-class CNN's part 2_ Preparing our data (turning it into tensors).en.srt 10.4 KB
02 Deep Learning and TensorFlow Fundamentals/011 Creating tensors with TensorFlow and tf.Variable().en.srt 10.4 KB
04 Neural network classification in TensorFlow/002 Example classification problems (and their inputs and outputs).en.srt 10.3 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/016 Breaking our CNN model down part 6_ Compiling and fitting our baseline CNN.en.srt 10.3 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/016 Fitting and evaluating Model 2 (and saving its weights using ModelCheckpoint).en.srt 10.3 KB
18 Appendix_ NumPy/011 Standard Deviation and Variance.en.srt 10.3 KB
09 Milestone Project 1_ Food Vision Big™/009 Creating modelling callbacks for our feature extraction model.en.srt 10.2 KB
03 Neural network regression with TensorFlow/009 Evaluating a TensorFlow model part 1 (_visualise, visualise, visualise_).en.srt 10.2 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/002 Importing a script full of helper functions (and saving lots of space).en.srt 10.2 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/001 Introduction to Transfer Learning in TensorFlow Part 2_ Fine-tuning.en.srt 10.2 KB
18 Appendix_ NumPy/012 Reshape and Transpose.en.srt 10.1 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/017 Loading and comparing saved weights to our existing trained Model 2.en.srt 10.1 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/019 Discussing the benefits of finding your model's most wrong predictions.en.srt 9.8 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/019 Breaking our CNN model down part 9_ Reducing overfitting with data augmentation.en.srt 9.8 KB
09 Milestone Project 1_ Food Vision Big™/008 Exploring what happens when we batch and prefetch our data.en.srt 9.8 KB
03 Neural network regression with TensorFlow/012 Evaluating a TensorFlow model part 4 (visualising a model's layers).en.srt 9.6 KB
09 Milestone Project 1_ Food Vision Big™/001 Introduction to Milestone Project 1_ Food Vision Big™.en.srt 9.5 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/036 Saving and loading our trained CNN model.en.srt 9.4 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/009 Saving and loading our trained model.en.srt 9.4 KB
18 Appendix_ NumPy/016 Sorting Arrays.en.srt 9.4 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/021 Downloading and preparing data for our biggest experiment yet (Model 4).en.srt 9.3 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/030 Multi-class CNN's part 4_ Fitting a multi-class CNN model to the data.en.srt 9.3 KB
15 Appendix_ Machine Learning Primer/002 What is Machine Learning_.en.srt 9.3 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/010 Downloading a pretrained model to make and evaluate predictions with.en.srt 9.3 KB
04 Neural network classification in TensorFlow/020 Introducing more classification evaluation methods.en.srt 9.2 KB
04 Neural network classification in TensorFlow/003 Input and output tensors of classification problems.en.srt 9.2 KB
11 Milestone Project 2_ SkimLit/020 Discussing how we're going to build Model 4 (character + token embeddings).en.srt 9.1 KB
02 Deep Learning and TensorFlow Fundamentals/021 Changing the datatype of tensors.en.srt 9.0 KB
13 Passing the TensorFlow Developer Certificate Exam/002 What is the TensorFlow Developer Certification_.en.srt 8.8 KB
04 Neural network classification in TensorFlow/017 Using the TensorFlow History object to plot a model's loss curves.en.srt 8.7 KB
02 Deep Learning and TensorFlow Fundamentals/008 How to approach this course.en.srt 8.6 KB
03 Neural network regression with TensorFlow/015 Evaluating a TensorFlow regression model part 7 (mean absolute error).en.srt 8.5 KB
15 Appendix_ Machine Learning Primer/004 Exercise_ Machine Learning Playground.en.srt 8.5 KB
02 Deep Learning and TensorFlow Fundamentals/026 One-hot encoding tensors.en.srt 8.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/004 Example forecasting problems in daily life.en.srt 8.3 KB
01 Introduction/001 Course Outline.en.srt 8.3 KB
10 NLP Fundamentals in TensorFlow/007 Splitting data into training and validation sets.en.srt 8.2 KB
03 Neural network regression with TensorFlow/022 (Optional) How to save and download files from Google Colab.en.srt 8.1 KB
16 Appendix_ Machine Learning and Data Science Framework/009 Modelling - Splitting Data.en.srt 8.1 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/012 Unravelling our test dataset for comparing ground truth labels to predictions.en.srt 8.0 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/020 Discussing other non-TensorFlow kinds of time series forecasting models.en.srt 8.0 KB
03 Neural network regression with TensorFlow/006 Steps in improving a model with TensorFlow part 1.en.srt 7.9 KB
18 Appendix_ NumPy/003 NumPy Introduction.en.srt 7.9 KB
04 Neural network classification in TensorFlow/012 Non-linearity part 2_ Building our first neural network with non-linearity.en.srt 7.9 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/023 Breaking our CNN model down part 13_ Exploring options to improve our model.en.srt 7.8 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/003 Outlining the model we're going to build and building a ModelCheckpoint callback.en.srt 7.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/010 Visualizing our Bitcoin historical data with pandas.en.srt 7.7 KB
15 Appendix_ Machine Learning Primer/005 How Did We Get Here_.en.srt 7.6 KB
02 Deep Learning and TensorFlow Fundamentals/007 What we're going to cover throughout the course.en.srt 7.5 KB
02 Deep Learning and TensorFlow Fundamentals/028 Exploring TensorFlow and NumPy's compatibility.en.srt 7.4 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/057 Model 9_ Building, compiling and fitting a future predictions model.en.srt 7.4 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/024 Downloading a custom image to make predictions on.en.srt 7.3 KB
02 Deep Learning and TensorFlow Fundamentals/017 Manipulating tensors with basic operations.en.srt 7.2 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/049 Model 8_ Ensemble model overview.en.srt 7.2 KB
17 Appendix_ Pandas for Data Analysis/004 Pandas Introduction.en.srt 7.2 KB
16 Appendix_ Machine Learning and Data Science Framework/008 Features In Data.en.srt 7.1 KB
16 Appendix_ Machine Learning and Data Science Framework/004 6 Step Machine Learning Framework.en.srt 7.1 KB
02 Deep Learning and TensorFlow Fundamentals/001 What is deep learning_.en.srt 7.1 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/031 Multi-class CNN's part 5_ Evaluating our multi-class CNN model.en.srt 7.1 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/013 Confirming our model's predictions are in the same order as the test labels.en.srt 7.1 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/004 Becoming One With Data.en.srt 7.0 KB
04 Neural network classification in TensorFlow/031 Multi-class classification part 8_ Creating a confusion matrix.en.srt 7.0 KB
02 Deep Learning and TensorFlow Fundamentals/023 Tensor troubleshooting example (updating tensor datatypes).en.srt 6.9 KB
04 Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data.en.srt 6.8 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/006 Becoming One With Data Part 3.en.srt 6.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/002 Introduction to Milestone Project 3 (BitPredict) & where you can get help.en.srt 6.8 KB
16 Appendix_ Machine Learning and Data Science Framework/006 Types of Data.en.srt 6.7 KB
15 Appendix_ Machine Learning Primer/003 AI_Machine Learning_Data Science.en.srt 6.7 KB
02 Deep Learning and TensorFlow Fundamentals/027 Trying out more tensor math operations.en.srt 6.5 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/004 Creating a data augmentation layer to use with our model.en.srt 6.5 KB
15 Appendix_ Machine Learning Primer/009 What Is Machine Learning_ Round 2.en.srt 6.5 KB
16 Appendix_ Machine Learning and Data Science Framework/010 Modelling - Picking the Model.en.srt 6.5 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/034 Multi-class CNN's part 8_ Things you could do to improve your CNN model.en.srt 6.4 KB
16 Appendix_ Machine Learning and Data Science Framework/015 Tools We Will Use.en.srt 6.3 KB
04 Neural network classification in TensorFlow/021 Finding the accuracy of our classification model.en.srt 5.9 KB
15 Appendix_ Machine Learning Primer/006 Exercise_ YouTube Recommendation Engine.en.srt 5.9 KB
15 Appendix_ Machine Learning Primer/007 Types of Machine Learning.en.srt 5.7 KB
04 Neural network classification in TensorFlow/028 Multi-class classification part 5_ Comparing normalised and non-normalised data.en.srt 5.7 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/009 Drilling into the concept of a feature vector (a learned representation).en.srt 5.6 KB
18 Appendix_ NumPy/015 Comparison Operators.en.srt 5.5 KB
16 Appendix_ Machine Learning and Data Science Framework/014 Experimentation.en.srt 5.3 KB
16 Appendix_ Machine Learning and Data Science Framework/011 Modelling - Tuning.en.srt 5.3 KB
02 Deep Learning and TensorFlow Fundamentals/006 What is a Tensor_.en.srt 5.2 KB
16 Appendix_ Machine Learning and Data Science Framework/002 Section Overview.en.srt 5.0 KB
16 Appendix_ Machine Learning and Data Science Framework/007 Types of Evaluation.en.srt 4.7 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/006 What we're going to cover (broadly).en.srt 4.6 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/005 Comparing the TensorFlow Keras Sequential API versus the Functional API.en.srt 4.2 KB
09 Milestone Project 1_ Food Vision Big™/003 Getting helper functions ready.en.srt 4.1 KB
13 Passing the TensorFlow Developer Certificate Exam/006 What to do after the TensorFlow Developer Certification exam.en.srt 4.1 KB
03 Neural network regression with TensorFlow/016 Evaluating a TensorFlow regression model part 7 (mean square error).en.srt 4.1 KB
02 Deep Learning and TensorFlow Fundamentals/025 Squeezing a tensor (removing all 1-dimension axes).en.srt 4.0 KB
17 Appendix_ Pandas for Data Analysis/002 Section Overview.en.srt 3.8 KB
16 Appendix_ Machine Learning and Data Science Framework/003 Introducing Our Framework.en.srt 3.8 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/004 Discussing the four (actually five) modelling experiments we're running.en.srt 3.7 KB
01 Introduction/003 Exercise_ Meet The Community.html 3.7 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/026 Transfer Learning in TensorFlow Part 2 challenge, exercises and extra-curriculum.html 3.6 KB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/037 TensorFlow computer vision and CNNs challenge, exercises & extra-curriculum.html 3.4 KB
01 Introduction/004 All Course Resources + Notebooks.html 3.4 KB
04 Neural network classification in TensorFlow/034 TensorFlow classification challenge, exercises & extra-curriculum.html 3.4 KB
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/011 TensorFlow Transfer Learning Part 1 challenge, exercises & extra-curriculum.html 3.4 KB
18 Appendix_ NumPy/002 Section Overview.en.srt 3.4 KB
01 Introduction/002 Join Our Online Classroom!.html 3.3 KB
09 Milestone Project 1_ Food Vision Big™/016 Milestone Project 1_ Food Vision Big™, exercises and extra-curriculum.html 3.2 KB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/023 Transfer Learning in TensorFlow Part 3 challenge, exercises and extra-curriculum.html 3.2 KB
10 NLP Fundamentals in TensorFlow/035 NLP Fundamentals in TensorFlow challenge, exercises and extra-curriculum.html 3.1 KB
18 Appendix_ NumPy/018 Assignment_ NumPy Practice.html 3.0 KB
17 Appendix_ Pandas for Data Analysis/013 Assignment_ Pandas Practice.html 2.9 KB
02 Deep Learning and TensorFlow Fundamentals/032 LinkedIn Endorsements.html 2.9 KB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/025 How to view and delete previous TensorBoard experiments.en.srt 2.9 KB
14 Where To Go From Here_/002 LinkedIn Endorsements.html 2.9 KB
03 Neural network regression with TensorFlow/029 TensorFlow Regression challenge, exercises & extra-curriculum.html 2.9 KB
16 Appendix_ Machine Learning and Data Science Framework/013 Overfitting and Underfitting Definitions.html 2.9 KB
02 Deep Learning and TensorFlow Fundamentals/030 TensorFlow Fundamentals challenge, exercises & extra-curriculum.html 2.9 KB
09 Milestone Project 1_ Food Vision Big™/010 Note_ Mixed Precision producing errors for TensorFlow 2.5+.html 2.8 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/064 TensorFlow Time Series Fundamentals Challenge and Extra Resources.html 2.8 KB
13 Passing the TensorFlow Developer Certificate Exam/001 Get ready to be TensorFlow Developer Certified!.html 2.5 KB
11 Milestone Project 2_ SkimLit/036 Milestone Project 2 (SkimLit) challenge, exercises and extra-curriculum.html 2.5 KB
15 Appendix_ Machine Learning Primer/010 Section Review.en.srt 2.3 KB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/001 Welcome to time series fundamentals with TensorFlow + Milestone Project 3!.html 2.2 KB
18 Appendix_ NumPy/004 Quick Note_ Correction In Next Video.html 2.1 KB
19 BONUS SECTION/001 Special Bonus Lecture.html 2.0 KB
17 Appendix_ Pandas for Data Analysis/006 Data from URLs.html 1.9 KB
10 NLP Fundamentals in TensorFlow/001 Welcome to natural language processing with TensorFlow!.html 1.9 KB
18 Appendix_ NumPy/019 Optional_ Extra NumPy resources.html 1.9 KB
17 Appendix_ Pandas for Data Analysis/003 Downloading Workbooks and Assignments.html 1.8 KB
16 Appendix_ Machine Learning and Data Science Framework/016 Optional_ Elements of AI.html 1.8 KB
14 Where To Go From Here_/001 Become An Alumni.html 1.8 KB
02 Deep Learning and TensorFlow Fundamentals/009 Need A Refresher_.html 1.8 KB
02 Deep Learning and TensorFlow Fundamentals/031 Python + Machine Learning Monthly.html 1.7 KB
15 Appendix_ Machine Learning Primer/001 Quick Note_ Upcoming Videos.html 1.6 KB
16 Appendix_ Machine Learning and Data Science Framework/001 Quick Note_ Upcoming Videos.html 1.6 KB
17 Appendix_ Pandas for Data Analysis/001 Quick Note_ Upcoming Videos.html 1.6 KB
18 Appendix_ NumPy/001 Quick Note_ Upcoming Videos.html 1.6 KB
14 Where To Go From Here_/003 TensorFlow Certificate.html 1.3 KB
03 Neural network regression with TensorFlow/030 Learning Guideline.html 1.2 KB
18 Appendix_ NumPy/external-assets-links.txt 1.1 KB
15 Appendix_ Machine Learning Primer/008 Are You Getting It Yet_.html 1.0 KB
17 Appendix_ Pandas for Data Analysis/external-assets-links.txt 1019 bytes
17 Appendix_ Pandas for Data Analysis/391 car-sales.csv 369 bytes
17 Appendix_ Pandas for Data Analysis/393 car-sales-missing-data.csv 287 bytes
05 Computer Vision and Convolutional Neural Networks in TensorFlow/external-assets-links.txt 201 bytes
01 Introduction/external-assets-links.txt 180 bytes
15 Appendix_ Machine Learning Primer/external-assets-links.txt 143 bytes
04 Neural network classification in TensorFlow/external-assets-links.txt 132 bytes
03 Neural network regression with TensorFlow/external-assets-links.txt 127 bytes
06 Transfer Learning in TensorFlow Part 1_ Feature extraction/external-assets-links.txt 127 bytes
0. Websites you may like/[CourseClub.Me].url 122 bytes
05 Computer Vision and Convolutional Neural Networks in TensorFlow/[CourseClub.Me].url 122 bytes
10 NLP Fundamentals in TensorFlow/[CourseClub.Me].url 122 bytes
15 Appendix_ Machine Learning Primer/[CourseClub.Me].url 122 bytes
[CourseClub.Me].url 122 bytes
16 Appendix_ Machine Learning and Data Science Framework/external-assets-links.txt 105 bytes
02 Deep Learning and TensorFlow Fundamentals/external-assets-links.txt 91 bytes
0. Websites you may like/[GigaCourse.Com].url 49 bytes
05 Computer Vision and Convolutional Neural Networks in TensorFlow/[GigaCourse.Com].url 49 bytes
10 NLP Fundamentals in TensorFlow/[GigaCourse.Com].url 49 bytes
15 Appendix_ Machine Learning Primer/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

[GigaCourse.Com] Udemy - TensorFlow Developer Certificate in 2021 Zero to Mastery

File List

Download Torrent

Related Resources

Copyright Infringement