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nav 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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