DEEP LEARNING

An MIT Press book in preparation

Yoshua Bengio, Ian Goodfellow and Aaron Courville

Citing the book in preparation

@unpublished{Bengio-et-al-2014-Book,
    title={Deep Learning},
    author={Yoshua Bengio and Ian J. Goodfellow and Aaron Courville},
    note={Book in preparation for MIT Press},
    url={http://www.iro.umontreal.ca/~bengioy/dlbook},
    year={2014}
}

Draft chapters available for feedback - Version 01/01/2015

• Table of Contents
• Deep Learning for AI
• Linear Algebra
• Probability and Information Theory
• Numerical Computation
• Machine Learning Basics
• Feedforward Deep Networks
• Numerical Optimization
• Structured Probabilistic Models: A Deep Learning Perspective
• Unsupervised and Transfer Learning
• (NEW)Distributed Representations: Disentangling the Underlying Factors
• Convolutional Networks
• Sequence Modeling: Recurrent and Recursive Nets
• The Manifold Perspective on Auto-Encoders
• Confronting the Partition Function
• References