The “Deep Learning” book is part of the Adaptive Computation and Machine Learning series. This series aims to provide professionals and students with the tools they need to understand, adapt, and harness future advances in machine learning and computation. The “Deep Learning” book, in particular, is a comprehensive resource that delves deep into neural networks, the architecture of deep learning models, and their applications.

“Deep Learning” is a comprehensive book in the Adaptive Computation and Machine Learning series by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Published by The MIT Press, this book offers an extensive introduction to a wide range of topics in deep learning. It covers the mathematical and conceptual background, deep learning techniques used in industry, and various research perspectives. The book is suitable for undergraduate or graduate students planning careers in either industry or research, as well as software engineers who want to start using deep learning. It’s a valuable resource for both beginners and experts in the field. For more information, you can visit the MIT Press website: Deep Learning at MIT Press