Goodfellow Lan Bangio, Yoshua Courville Aaron

Deep Learning - Cambridge MIT Press 2016 - xiii, 775p. - Adaptive Computation and Machine Learning series .

978-0262035613


Linear Algebra
Probability and Information Theory
Numerical Computation
Machine Learning Basics
Deep Feedforward Networks
Regularization for Deep Learning
Optimization for Training Deep Models
Convolutional Networks
Sequence Modeling: Recurrent and Recursive Nets
Practical Methodology
Linear Factor Models
Autoencoders
Representation Learning
Structured Probabilistic Models for Deep Learning
Monte Carlo Methods
Confronting the Partition Function
Approximate Inference
Deep Generative Models

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