Deep Learning By Yoshua Bengio (Hardback, 2016)

Product Description

An introduction to a broad range of topics in deep learning covering mathematical & conceptual background deep learning techniques used in industry & research perspectives Written by three experts in the field Deep Learning is the only comprehensive book on the subject -- Elon Musk cochair of Open AI; cofounder & CEO of Tesla & Space X Deep learning is a form of machine learning that enables computers to learn from experience & understand the world in terms of a hierarchy of concepts Because the computer gathers knowledge from experience there is no need for a human computer operator to formally specify all the knowledge that the computer needs The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep This book introduces a broad range of topics in deep learning The text offers mathematical & conceptual background covering relevant concepts in linear algebra probability theory & information theory numerical computation & machine learning It describes deep learning techniques used by practitioners in industry including deep feedforward networks regularization optimization algorithms convolutional networks sequence modeling & practical methodology; & it surveys such applications as natural language processing speech recognition computer vision online recommendation systems bioinformatics & videogames Finally the book offers research perspectives covering such theoretical topics as linear factor models autoencoders representation learning structured probabilistic models Monte Carlo methods the partition function approximate inference & deep generative models Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research & by software engineers who want to begin using deep learning in their products or platforms A website offers supplementary material for both readers & instructors