How Deep Learning Works: An Experiment-First Guide for Programmers - Ronald T. Kneusel - Grāmatas - No Starch Press,US - 9781718505087 - 2026. gada 29. septembris
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Ronald T. Kneusel
How Deep Learning Works: An Experiment-First Guide for Programmers

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€ 50,99
Paredzamā piegāde 2026. gada 7. - 12. okt.

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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 through carefully designed experiments using real deep learning toolkits, guiding them step by step from running code to understanding why models behave the way they do.

A consistent structure-overview, execution, code review, and discussion-keeps readers oriented and focused on building intuition, not memorizing APIs. Beginning with fundamental ideas like classification and neural networks, the book steadily builds toward modern techniques, including transfer learning, zero-shot and few-shot models, and hands-on experiments with large language models. Along the way, readers learn how to spot failure modes, reason about trade-offs, and adapt existing tools to new problems.

The result is a clear, software-centric explanation of deep learning that helps working programmers move beyond copy-paste ML and develop real understanding they can apply in their own projects.

Mediji Grāmatas     Paperback Book   (Grāmata ar mīksto vāku un līmēto muguru)
Tiks izlaists 2026. gada 29. septembris
ISBN13 9781718505087
Izdevēji No Starch Press,US
Lapas 304
Izmēri 150 × 220 × 10 mm   ·   458 g   (Svars (aptuveni))

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