Fundamentals of Deep Learning 2017 英文版

1. The Neural Network 2. Training Feed-Forward Neur 3. Implementing Neural Networks in TensorFlowal Networks 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