How Deep Learning Works
An Experiment-First Guide for Programmers
$130.18
- Paperback
304 pages
- Release Date
27 October 2026
Summary
A practical, experiment-driven introduction to deep learning that shows programmers how modern neural networks actually work by running, inspecting, and reasoning about real models, from foundational concepts through large language models.
How Deep Learning Works is for programmers who want to understand deep learning, not just use it.
Rather than starting with heavy math or abstract theory, this book takes an experiment-first approach. Each chapter walks readers thro…
Book Details
| ISBN-13: | 9781718505087 |
|---|---|
| ISBN-10: | 1718505086 |
| Author: | Ronald T. Kneusel |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 304 |
| Release Date: | 27 October 2026 |
| Weight: | 369g |
| Dimensions: | 235mm x 178mm |
About The Author
Ronald T. Kneusel
Ronald T. Kneusel
Ronald T. Kneusel builds deep learning systems in industry, with extensive experience in medical imaging and medical-device development. He holds a PhD in computer science from the University of Colorado Boulder, along with degrees in physics and mathematics, and has been programming since the early days of personal computing. He is the author of several well-regarded books on computing, mathematics, and AI.
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