Deep Learning

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Deep Learning

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.

For more information about the book, please visit https://mitpress.mit.edu/books/deep-learning

Open Calls

Nomination/Position Deadline
Call for Nominations: IEEE Transactions on Multimedia (TMM) Editor-in-Chief 15 June 2025
Call for Nominations: IEEE Medals & Recognitions 15 June 2025
Call For Industry Short Course Proposals is Open 15 June 2025
Call for Papers for IEEE JSTSP Special Series on Artificial Intelligence for Smart Agriculture 15 June 2025
Call for Nominations: IEEE Transactions on Multimedia (TMM) Editor-in-Chief 15 June 2025
Call For Industry Short Course Proposals is Open 15 June 2025
Call for Nominations: Fellow Evaluation Committee Member Positions 20 June 2025
Clone of Call for Nominations: Fellow Evaluation Committee Member Positions 20 June 2025
2025 IEEE SPS Scholarship Program Now Open! 30 June 2025
Call for Papers IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Series on AI in Signal & Data Science -- Toward Large Language Model (LLM) Theory and Applications (Update) 1 July 2025
ICASSP 2026 Call for Satellite Workshops 9 July 2025
Call for Nominations for Chair, Women in Signal Processing (WISP) 14 July 2025
Call for Nominations for Chair, Scholarship Committee 14 July 2025
Call for Nominations for Chair, Women in Signal Processing (WISP) 14 July 2025
Call for Nominations for Chair, Scholarship Committee 14 July 2025
Nominate a Colleague for a 2025 IEEE Signal Processing Society Award 1 September 2025
Nominate a Colleague for a 2025 IEEE Signal Processing Society Award 1 September 2025
Call for Mentors: 2025 IEEE SPS SigMA Program - Signal Processing Mentorship Academy 14 September 2025

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