The Little Learner by Daniel P. Friedman - ISBN: 9780262546379
Paperback
Learn deep learning from scratch with fun, step-by-step explanations.

The Little Learner

A Straight Line to Deep Learning

$138.30

  • Paperback

    436 pages

  • Release Date

    12 April 2023

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Summary

A highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style.

The Little Learner introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of classroom favorites The Little Schemer and The Little Typer, this kindred text explains the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on…

Book Details

ISBN-13:9780262546379
ISBN-10:026254637X
Author:Daniel P. Friedman, Anurag Mendhekar
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Paperback
Number of Pages:436
Release Date:12 April 2023
Weight:369g
Dimensions:229mm x 178mm
About The Author

Daniel P. Friedman

Daniel P. Friedman is Professor of Computer Science in the School of Informatics, Computing, and Engineering at Indiana University and is the author of many books published by the MIT Press, including The Little Schemer and The Seasoned Schemer (with Matthias Felleisen); The Little Prover (with Carl Eastlund); and The Reasoned Schemer (with William E. Byrd, Oleg Kiselyov, and Jason Hemann).

Anurag Mendhekar is Cofounder and President of Paper Culture, where he focuses on developing artificial intelligence for creativity, and an entrepreneur. He started his career at Xerox s Palo Alto Research Center (PARC), where he was one of the inventors of aspect-oriented programming. His career has spanned a range of technologies including distributed systems, image and video compression, and video distribution for VR.

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