The Little Learner: A Straight Line to Deep Learning (MIT Press)
Friday, 10 March 2023

This book introduces deep learning from the bottom up, inviting students to learn by doing. With the characteristic humor and Socratic approach of other books in the series such as The Little Schemer and The Little Typer, in this kindred text Daniel P. Friedman and Anurag Mendhekar explain the workings of deep neural networks by constructing them incrementally from first principles using little programs that build on one another.

<ASIN:026254637X>

Starting from scratch, the reader is led through a complete implementation of a substantial application: a recognizer for noisy Morse code signals. Example-driven and highly accessible, The Little Learner covers all of the concepts necessary to develop an intuitive understanding of the workings of deep neural networks, including tensors, extended operators, gradient descent algorithms, artificial neurons, dense networks, convolutional networks, residual networks, and automatic differentiation.

Author: Daniel P. Friedman and Anurag Mendhekar
Publisher: MIT Press
Date: February 2023
Pages: 440
ISBN: 978-0262546379
Print: 026254637X
Kindle: B0BCDKRPTJ
Audience: People interested in deep learning
Level: Introductory/Intermediate
Category: Artificial Intelligence

littledeep

 

  • Conversational style, illustrations, and question-and-answer format make deep learning accessible and fun
  • Incremental approach constructs advanced concepts from first principles
  • Presents key ideas of machine learning using a small, manageable subset of the Scheme language
  • Suitable for anyone with knowledge of high school math and some programming experience

 

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Understanding Software Dynamics (Addison-Wesley)

Author: Richard L. Sites
Publisher: Addison-Wesley
Pages: 464
ISBN: 978-0137589739
Print: 0137589735
Kindle: B09H5JB5HC
Audience: Every developers
Rating: 5
Reviewer: Kay Ewbank

This book looks at the different reasons why software runs too slowly, and what developers can do about it, starting by looki [ ... ]



Algorithms: Absolute Beginner's Guide

Author: Kirupa Chinnathambi
Publisher: Addison-Wesley
Date: November 2023
Pages: 416
ISBN: 978-0138222291
Print: 0138222290
Kindle: B0CCTZ37DQ
Audience: General
Rating: 4.5
Reviewer: Kay Ewbank

Subtitled 'a practical introduction to data structures and algorithms in JavaScript', this book is split into tw [ ... ]


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