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. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and 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 and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and 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, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

A concise edition of the highly acclaimed Oxford Companion to the Book, this book features the 51 articles from the Companion plus 3 brand new chapters in one affordable volume. The 54 chapters introduce readers to the fascinating world of book history. Including 21 thematic studies on topics such as writing systems, the ancient and the medieval book, and the economics of print, as well as 33 regional and national histories of 'the book', offering a truly global survey of the book around the world, the Oxford History of the Book is the most comprehensive work of its kind. The three new articles, specially commissioned for this spin-off, cover censorship, copyright and intellectual property, and book history in the Caribbean and Bermuda. All essays are illustrated throughout with reproductions, diagrams, and examples of various typographical features. Beautifully produced and hugely informative, this is a must-have for anyone with an interest in book history and the written word.