[FreeCoursesOnline.Me] PacktPub - Deep Learning with Real World Projects [Video]

Creation Time	Dec. 10, 2023, 6:11 p.m.
Last Access Time	April 8, 2025, 2:46 a.m.
File Size	7.0 GB
Keywords	FreeCoursesOnline Me Real - Deep PacktPub Video Learning World with Projects
Total Requests	141
Total Files	161
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8 - CNN-Transfer Learning/Case Study - Part 1.mp4 194.1 MB
14 - Text generation using RNN/Text Generation - Code generator case- study (Part-1).mp4 171.3 MB
6 - Convolution Neural Networks/Images.mp4 161.1 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 12.mp4 159.5 MB
1 - Introduction/Representations.mp4 158.1 MB
1 - Introduction/Neural Network Playground.mp4 152.1 MB
1 - Introduction/Activation Functions.mp4 151.3 MB
6 - Convolution Neural Networks/Feature Map.mp4 127.6 MB
5 - Regularisation/Introducing Keras.mp4 122.9 MB
1 - Introduction/Training Neural Network - Part 1.mp4 122.6 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-8).mp4 120.0 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 2.mp4 118.7 MB
1 - Introduction/Training Neural Network - Part 3.mp4 110.8 MB
8 - CNN-Transfer Learning/Analysis - Part 1.mp4 109.8 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-5).mp4 109.4 MB
14 - Text generation using RNN/Text Generation - Code generator case- study (Part-2).mp4 105.2 MB
2 - Artificial Neural Networks-Introduction/Understanding Notations.mp4 100.0 MB
8 - CNN-Transfer Learning/Case Study - Part 2.mp4 95.9 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 8.mp4 91.4 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-2).mp4 87.7 MB
6 - Convolution Neural Networks/Weight and Bias.mp4 82.5 MB
1 - Introduction/Multi-Level Perceptrons.mp4 81.5 MB
1 - Introduction/History of Deep learning.mp4 81.4 MB
3 - ANN - Feed Forward Network/Vectorised Methods.mp4 81.4 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 9.mp4 81.1 MB
6 - Convolution Neural Networks/Convolution - Part 2.mp4 79.5 MB
6 - Convolution Neural Networks/Idea behind CNN - Part 2.mp4 75.9 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 14.mp4 75.1 MB
8 - CNN-Transfer Learning/AlexNet.mp4 73.8 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 6.mp4 72.1 MB
6 - Convolution Neural Networks/Pooling.mp4 70.6 MB
1 - Introduction/Introduction.mp4 65.6 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 11.mp4 61.7 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-7).mp4 60.0 MB
3 - ANN - Feed Forward Network/Understanding Dimensions.mp4 58.6 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-4).mp4 57.1 MB
1 - Introduction/Training Neural Network - Part 2.mp4 56.8 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 10.mp4 56.7 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case-study (Part-1).mp4 56.2 MB
6 - Convolution Neural Networks/Applications for CNN.mp4 54.5 MB
2 - Artificial Neural Networks-Introduction/Input Layer.mp4 53.6 MB
6 - Convolution Neural Networks/Combining Network.mp4 53.2 MB
5 - Regularisation/Batch Normalisation - Part 3.mp4 50.6 MB
3 - ANN - Feed Forward Network/Introduction.mp4 50.5 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 3.mp4 50.1 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 1.mp4 49.6 MB
2 - Artificial Neural Networks-Introduction/Neural Networks.mp4 49.3 MB
5 - Regularisation/Introduction to Regularisation.mp4 49.0 MB
8 - CNN-Transfer Learning/GoogleNet.mp4 48.7 MB
14 - Text generation using RNN/Text Generation - Code generator case- study (Part-3).mp4 48.7 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 4.mp4 48.6 MB
4 - Back Propagation/Back Propagation Training - Part 1.mp4 46.5 MB
8 - CNN-Transfer Learning/Analysis - Part 2.mp4 46.0 MB
6 - Convolution Neural Networks/Idea behind CNN - Part 1.mp4 45.9 MB
2 - Artificial Neural Networks-Introduction/Assumptions in Neural Networks.mp4 45.8 MB
5 - Regularisation/Introducing TensorFlow.mp4 45.4 MB
2 - Artificial Neural Networks-Introduction/Example for Perceptron.mp4 45.0 MB
7 - CNN-Keras/VGG16 (Visual Geometry Group).mp4 44.6 MB
8 - CNN-Transfer Learning/Introduction.mp4 44.6 MB
4 - Back Propagation/Introducing Loss Function.mp4 44.1 MB
3 - ANN - Feed Forward Network/Bidirectional RNN.mp4 43.5 MB
6 - Convolution Neural Networks/Convolution - Part 1.mp4 43.4 MB
6 - Convolution Neural Networks/Introduction.mp4 42.9 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-3).mp4 42.6 MB
2 - Artificial Neural Networks-Introduction/Activation Functions.mp4 41.9 MB
3 - ANN - Feed Forward Network/Pseudocode.mp4 40.6 MB
14 - Text generation using RNN/Text Generation - Code generator case- study (Part-4).mp4 40.0 MB
6 - Convolution Neural Networks/Video.mp4 40.0 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 4.mp4 39.9 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 5.mp4 39.3 MB
8 - CNN-Transfer Learning/Case Study - Part 3.mp4 39.1 MB
4 - Back Propagation/SGD.mp4 39.0 MB
4 - Back Propagation/Back Propagation Training - Part 2.mp4 38.1 MB
2 - Artificial Neural Networks-Introduction/Multi Classifier.mp4 37.9 MB
1 - Introduction/Perceptrons.mp4 37.7 MB
5 - Regularisation/Batch Normalisation - Part 2.mp4 37.5 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 6.mp4 36.3 MB
5 - Regularisation/Batch Normalisation - Part 1.mp4 36.1 MB
3 - ANN - Feed Forward Network/Online Offline Mode.mp4 36.0 MB
7 - CNN-Keras/Practical on CNN - Case Study - Part 3.mp4 36.0 MB
4 - Back Propagation/Introduction.mp4 35.4 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 3.mp4 35.3 MB
4 - Back Propagation/Back Propagation Training - Part 5.mp4 34.8 MB
4 - Back Propagation/Back Propagation Training - Part 4.mp4 34.7 MB
6 - Convolution Neural Networks/Stride and Padding.mp4 34.2 MB
2 - Artificial Neural Networks-Introduction/Training in Neural Networks.mp4 32.7 MB
8 - CNN-Transfer Learning/ResNet - Part 1.mp4 32.3 MB
2 - Artificial Neural Networks-Introduction/Perceptron for Classifiers.mp4 32.0 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 13.mp4 31.8 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-9).mp4 30.9 MB
2 - Artificial Neural Networks-Introduction/Perceptron in Depth.mp4 30.7 MB
2 - Artificial Neural Networks-Introduction/Perceptron.mp4 29.7 MB
11 - Recurrent Neural Networks - Introduction/Simplified Notations.mp4 29.4 MB
11 - Recurrent Neural Networks - Introduction/RNN Formula.mp4 29.2 MB
2 - Artificial Neural Networks-Introduction/Deep Learning.mp4 29.0 MB
4 - Back Propagation/Back Propagation Training - Part 9.mp4 29.0 MB
3 - ANN - Feed Forward Network/Pseudocode for Batch.mp4 28.8 MB
7 - CNN-Keras/Practical on CNN - Case Study - Part 2.mp4 28.3 MB
8 - CNN-Transfer Learning/ResNet - Part 2.mp4 28.1 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 5.mp4 27.1 MB
12 - Recurrent Neural Networks - LSTM/Gated Recurrent Network (GRU).mp4 27.0 MB
4 - Back Propagation/Back Propagation Training - Part 8.mp4 27.0 MB
2 - Artificial Neural Networks-Introduction/Understanding Human Brain.mp4 26.6 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 5.mp4 26.6 MB
2 - Artificial Neural Networks-Introduction/Sigmoid function.mp4 26.5 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 7.mp4 26.3 MB
4 - Back Propagation/Sigmoid Function.mp4 26.0 MB
13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-6).mp4 25.6 MB
5 - Regularisation/Dropouts Part 1.mp4 24.2 MB
2 - Artificial Neural Networks-Introduction/Introduction.mp4 23.9 MB
2 - Artificial Neural Networks-Introduction/Homogeneous Co-ordinate.mp4 23.6 MB
4 - Back Propagation/Back Propagation Training - Part 6.mp4 23.3 MB
4 - Back Propagation/Back Propagation Training - Part 10.mp4 23.0 MB
4 - Back Propagation/Training for Batches.mp4 22.8 MB
11 - Recurrent Neural Networks - Introduction/Architecture.mp4 22.5 MB
11 - Recurrent Neural Networks - Introduction/Vanishing Gradient.mp4 21.4 MB
4 - Back Propagation/Back Propagation Training - Part 7.mp4 20.6 MB
2 - Artificial Neural Networks-Introduction/Understanding MNIST.mp4 20.4 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 2.mp4 19.9 MB
9 - CNN-Industry Live Project - Playing..Natural Images/Introduction.mp4 19.7 MB
12 - Recurrent Neural Networks - LSTM/LSTM - Part 5.mp4 19.7 MB
6 - Convolution Neural Networks/Formulas.mp4 18.6 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 6.mp4 18.3 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 4.mp4 18.3 MB
11 - Recurrent Neural Networks - Introduction/One-to-Many.mp4 17.4 MB
6 - Convolution Neural Networks/Padding.mp4 15.1 MB
4 - Back Propagation/Back Propagation Training - Part 3.mp4 14.7 MB
12 - Recurrent Neural Networks - LSTM/Bidirectional RNN.mp4 14.3 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 3.mp4 14.1 MB
2 - Artificial Neural Networks-Introduction/Output Layer.mp4 14.1 MB
11 - Recurrent Neural Networks - Introduction/Introduction to RNN.mp4 13.5 MB
5 - Regularisation/Dropouts Part 2.mp4 13.5 MB
11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 2.mp4 13.2 MB
7 - CNN-Keras/Practical on CNN - Case Study - Part 4.mp4 13.2 MB
4 - Back Propagation/Pseudocode.mp4 12.7 MB
11 - Recurrent Neural Networks - Introduction/Training RNN.mp4 11.6 MB
12 - Recurrent Neural Networks - LSTM/LSTM - Part 4.mp4 11.6 MB
10 - CNN-Industry Live Project - Find..Save Life/Introduction.mp4 10.9 MB
4 - Back Propagation/Finding Global Minima.mp4 10.3 MB
7 - CNN-Keras/Practical on CNN - Case Study - Part 1.mp4 10.3 MB
12 - Recurrent Neural Networks - LSTM/Online Offline Mode.mp4 10.3 MB
11 - Recurrent Neural Networks - Introduction/RNN - Part 1.mp4 9.9 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 1.mp4 9.0 MB
10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 2.mp4 8.8 MB
11 - Recurrent Neural Networks - Introduction/Batch data.mp4 8.5 MB
12 - Recurrent Neural Networks - LSTM/LSTM Equation.mp4 8.5 MB
7 - CNN-Keras/Introduction.mp4 7.7 MB
12 - Recurrent Neural Networks - LSTM/LSTM - Part 1.mp4 7.7 MB
7 - CNN-Keras/Practical on CNN - Case Study - Part 5.mp4 7.5 MB
8 - CNN-Transfer Learning/Transfer Learning - Part 1.mp4 7.4 MB
11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 1.mp4 7.4 MB
11 - Recurrent Neural Networks - Introduction/RNN Part 2.mp4 6.4 MB
12 - Recurrent Neural Networks - LSTM/LSTM - Part 2.mp4 6.0 MB
12 - Recurrent Neural Networks - LSTM/Introduction.mp4 4.4 MB
12 - Recurrent Neural Networks - LSTM/LSTM - Part 3.mp4 4.2 MB
1 - Introduction/Code Password.mp4 719.8 KB
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[FreeCoursesOnline.Me] PacktPub - Deep Learning with Real World Projects [Video]

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