Books written by Yoshua Bengio.
Turing Award winner of 2018, together with Geoffrey Hinton and Yann LeCun, for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Learning Deep Architectures for AI
Analyzing and comparing recent results with different learning algorithms for deep architectures, explanations for their success are proposed and discussed, highlighting challenges and suggesting avenues for future explorations in this area.
Neural Networks for Speech and Sequence Recognition
This book applies the techniques of neural networks and hidden Markov models to problems of pattern and speech recognition, using real-world examples throughout.