Brief Table of Contents
Chapter 3. Linear regression and beyond
Chapter 4. A gentle introduction to classification
3. The neural network paradigm
Chapter 7. A peek into autoencoders
Chapter 8. Reinforcement learning
Chapter 9. Convolutional neural networks
Chapter 10. Recurrent neural networks
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