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Fundamentals of Deep Learning
Fundamentals of Deep Learning
Preface
1. The Neural Network
2. Training Feed-Forward Neural Networks
3. Implementing Neural Networks in TensorFlow
4. Beyond Gradient Descent
5. Convolutional Neural Networks
6. Embedding and Representation Learning
7. Models for Sequence Analysis
8. Memory Augmented Neural Networks
9. Deep Reinforcement Learning
Index
About the Author
Colophon
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