- Preface
- 1. Introduction to Deep Learning
- 2. Introduction to TensorFlow Primitives
- 3. Linear and Logistic Regression with TensorFlow
- 4. Fully Connected Deep Networks
- 5. Hyperparameter Optimization
- 6. Convolutional Neural Networks
- 7. Recurrent Neural Networks
- 8. Reinforcement Learning
- 9. Training Large Deep Networks
- 10. The Future of Deep Learning
- Index
TensorFlow for Deep Learning
From Linear Regression to Reinforcement Learning
Bharath Ramsundar and Reza Bosagh Zadeh
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