A Practical Guide to Machine Learning with TensorFlow 2.0 & Keras

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文档列表

4. Image Processing & Model Training/7. Training a Model.mp4 114.7 MB
5. Convolution & Pooling/3. Diagramming Convolutions & Pooling.mp4 112.7 MB
5. Convolution & Pooling/6. Neural Network Attention.mp4 112.4 MB
6. Text Analytics/2. Natural Language Processing.mp4 97.5 MB
3. Linear Regression/8. Learning Rate & Gradients.mp4 91.5 MB
6. Text Analytics/5. Reinforcement Learning.mp4 85.5 MB
6. Text Analytics/4. Long Short Term Memory.mp4 84.9 MB
4. Image Processing & Model Training/8. Comparing Different Models.mp4 80.8 MB
3. Linear Regression/3. Tensorflow Architecture.mp4 79.7 MB
6. Text Analytics/1. Detecting Good & Bad Reviews.mp4 78.8 MB
5. Convolution & Pooling/4. Visualizing Convolutional Operations.mp4 78.8 MB
5. Convolution & Pooling/5. Predicting, Saving & Loading Models.mp4 71.3 MB
4. Image Processing & Model Training/6. Defining the Solver & Loss Function.mp4 70.9 MB
6. Text Analytics/3. Sentiment Analysis.mp4 69.4 MB
3. Linear Regression/9. Learning Rate vs Steps.mp4 67.8 MB
4. Image Processing & Model Training/9. Principal Component Analysis.mp4 64.6 MB
2. Machine Learning, Neural Networks & Deep Learning/1. Machine Learning Demo.mp4 61.2 MB
4. Image Processing & Model Training/1. Image Processing with Keras.mp4 60.0 MB
3. Linear Regression/5. Plotting Data with Noise.mp4 59.7 MB
4. Image Processing & Model Training/5. Understanding the Model.mp4 57.2 MB
3. Linear Regression/6. Predicting Data with TensorFlow.mp4 54.0 MB
2. Machine Learning, Neural Networks & Deep Learning/9. AI Modeling Demo.mp4 52.9 MB
1. Introduction/2. Jupyter Notebook & TensorFlow.mp4 52.2 MB
2. Machine Learning, Neural Networks & Deep Learning/6. Neurons & Model Training.mp4 49.5 MB
2. Machine Learning, Neural Networks & Deep Learning/4. Neurons & Neuron Layers.mp4 49.0 MB
5. Convolution & Pooling/1. Convolutions & Pooling Definitions.mp4 47.3 MB
1. Introduction/1. Introduction.mp4 46.0 MB
4. Image Processing & Model Training/2. Creating a 2D Image Model.mp4 42.7 MB
2. Machine Learning, Neural Networks & Deep Learning/5. Deep Learning.mp4 42.4 MB
2. Machine Learning, Neural Networks & Deep Learning/10. Combining Neural Networks & AI.mp4 38.2 MB
2. Machine Learning, Neural Networks & Deep Learning/8. Deep Learning & AI.mp4 37.1 MB
3. Linear Regression/1. Jupyter Notebook Setup.mp4 34.5 MB
3. Linear Regression/4. Plotting Uniform Data.mp4 34.4 MB
5. Convolution & Pooling/7. Bias in Training Data Sets.mp4 33.2 MB
3. Linear Regression/7. Visualizing Learning Rate & Loss.mp4 29.0 MB
3. Linear Regression/2. Hardware & Compiler.mp4 26.6 MB
2. Machine Learning, Neural Networks & Deep Learning/7. Training Models.mp4 26.5 MB
2. Machine Learning, Neural Networks & Deep Learning/2. Deep Learning, Machine Learning, & Neural Networks Resources.mp4 25.4 MB
4. Image Processing & Model Training/3. Sigmoid vs. ReLU.mp4 24.1 MB
2. Machine Learning, Neural Networks & Deep Learning/3. Statistics & Machine Learning.mp4 23.6 MB
4. Image Processing & Model Training/4. Softmax.mp4 19.6 MB
5. Convolution & Pooling/2. Adding Convolutions & Pooling.mp4 11.4 MB
7. Wrapping Up/1. Wrapping Up.mp4 9.3 MB

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