• Title Deep Learning
• Author(s) Ian Goodfellow, Yoshua Bengio, Aaron Courville
• Publisher: The MIT Press (November 18, 2016); eBook (Online Version - Free)
• License(s): This is the online version of the published book. It's Free!
• Hardcover 775 pages
• eBook HTML
• Language: English
• ISBN-10: 0262035618
• ISBN-13: 978-0262035613
• Share This:  

Book Description

This is the online version of the published book. It's Free!

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.

"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.

• Ian Goodfellow is a researcher working in machine learning, currently employed as a research scientist at Google Brain. He has made several contributions to the field of deep learning.
• Yoshua Bengio is Professor of Computer Science at the Université de Montréal.
• Aaron Courville is Assistant Professor of Computer Science at the Université de Montréal.

• Amazon
• Amazon (GANs in Action: Deep learning with Generative Adversarial Networks)

• Deep Learning and Neural Networks
• Machine Learning
• Data Science
• Artificial Intelligence
• Data Analysis and Data Mining

• Deep Learning (Ian Goodfellow, et al)

• Deep learning: Technical introduction (Thomas Epelbaum)
• Learning Deep Architectures for AI (Yoshua Bengio)
• Dive into Deep Learning (Aston Zhang, et al)
• Artificial Neural Networks (Bernhard Mehlig)
• Deep Learning Tutorials (LISA Lab)