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Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow, Yoshua Bengio, Aaron Courville Came out in November 2016. Split in 3 parts: Part I: Applied Math and Machine Learning Basics (Linear Algebra, Probability and Information Theory, Numerical computation) Part II: Deep Networks: Modern Practices (Deep Feedforward Networks, Regularization, CNNs, RNNs, Practical Methodology & Applications) Part III: Deep Learning Research (Linear Factor Models, Autoencoders, Representation Learning, Structured Probabilistic Models, Monte Carlo Methods, Inference, Partition Function, Deep Generative Models) https://www.amazon.com/Deep-Learning-Adaptive-Computation-Ma... |