A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

Creation Time	Oct. 17, 2023, 3:03 a.m.
Last Access Time	Sept. 15, 2024, 3:45 a.m.
File Size	2.2 GB
Keywords	A Machine 0 Keras Practical to 2 Learning TensorFlow with Guide
Total Requests	84
Total Files	43
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4. Image Processing & Model Training/7. Training a Model.mp4 109.4 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 107.4 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 107.2 MB
6. Text Analytics/2. Natural Language Processing.mp4 93.0 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 87.2 MB
6. Text Analytics/5. Reinforcement Learning.mp4 81.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 80.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 77.1 MB
3. Linear Regression/3. Tensorflow Architecture.mp4 76.0 MB
6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 75.2 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 75.1 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 68.0 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 67.6 MB
6. Text Analytics/3. Sentiment Analysis.mp4 66.2 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 64.6 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 61.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 58.3 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 57.2 MB
3. Linear Regression/5. Plotting Data with Noise.mp4 57.0 MB
4. Image Processing & Model Training/5. Understanding the Model.mp4 54.5 MB
3. Linear Regression/6. Predicting Data with TensorFlow.mp4 51.5 MB
2. Machine Learning, Neural Networks & Deep Learning/9. AI Modeling Demo.mp4 50.4 MB
1. Introduction/2. Jupyter Notebook & TensorFlow.mp4 49.8 MB
2. Machine Learning, Neural Networks & Deep Learning/6. Neurons & Model Training.mp4 47.2 MB
2. Machine Learning, Neural Networks & Deep Learning/4. Neurons & Neuron Layers.mp4 46.8 MB
5. Convolution & Pooling/1. Convolutions & Pooling Definitions.mp4 45.1 MB
1. Introduction/1. Introduction.mp4 43.9 MB
4. Image Processing & Model Training/2. Creating a 2D Image Model.mp4 40.7 MB
2. Machine Learning, Neural Networks & Deep Learning/5. Deep Learning.mp4 40.5 MB
2. Machine Learning, Neural Networks & Deep Learning/10. Combining Neural Networks & AI.mp4 36.4 MB
2. Machine Learning, Neural Networks & Deep Learning/8. Deep Learning & AI.mp4 35.4 MB
3. Linear Regression/1. Jupyter Notebook Setup.mp4 32.9 MB
3. Linear Regression/4. Plotting Uniform Data.mp4 32.8 MB
5. Convolution & Pooling/7. Bias in Training Data Sets.mp4 31.7 MB
3. Linear Regression/7. Visualizing Learning Rate & Loss.mp4 27.7 MB
3. Linear Regression/2. Hardware & Compiler.mp4 25.3 MB
2. Machine Learning, Neural Networks & Deep Learning/7. Training Models.mp4 25.3 MB
2. Machine Learning, Neural Networks & Deep Learning/2. Deep Learning, Machine Learning, & Neural Networks Resources.mp4 24.3 MB
4. Image Processing & Model Training/3. Sigmoid vs. ReLU.mp4 23.0 MB
2. Machine Learning, Neural Networks & Deep Learning/3. Statistics & Machine Learning.mp4 22.5 MB
4. Image Processing & Model Training/4. Softmax.mp4 18.7 MB
5. Convolution & Pooling/2. Adding Convolutions & Pooling.mp4 10.9 MB
7. Wrapping Up/1. Wrapping Up.mp4 8.9 MB

A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

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