Practical Deep Learning, 2nd Edition: A Python-Based Introduction

Practical Deep Learning, 2nd Edition: A Python-Based Introduction - Paperback

$69.99
$69.99
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Practical Deep Learning, 2nd Edition: A Python-Based Introduction
  • Practical Deep Learning, 2nd Edition: A Python-Based Introduction
Practical Deep Learning, 2nd Edition: A Python-Based Introduction - Paperback

Practical Deep Learning, 2nd Edition: A Python-Based Introduction - Paperback

by Ronald T. Kneusel
$69.99
$69.99

Book Overview

Deep learning made simple.

Dip into deep learning without drowning in theory with this fully updated edition of Practical Deep Learning from experienced author and AI expert Ronald T. Kneusel.

After a brief review of basic math and coding principles, you'll dive into hands-on experiments and learn to build working models for everything from image analysis to creative writing, and gain a thorough understanding of how each technique works under the hood. Whether you're a developer looking to add AI to your toolkit or a student seeking practical machine learning skills, this book will teach you:

  • How neural networks work and how they're trained
  • How to use classical machine learning models
  • How to develop a deep learning model from scratch
  • How to evaluate models with industry-standard metrics
  • How to create your own generative AI models

Each chapter emphasizes practical skill development and experimentation, building to a case study that incorporates everything you've learned to classify audio recordings. Examples of working code you can easily run and modify are provided, and all code is freely available on GitHub. With Practical Deep Learning, second edition, you'll gain the skills and confidence you need to build real AI systems that solve real problems.

New to this edition: Material on computer vision, fine-tuning and transfer learning, localization, self-supervised learning, generative AI for novel image creation, and large language models for in-context learning, semantic search, and retrieval-augmented generation (RAG).
ISBN9781718504202
Author Ronald T. Kneusel
PublisherNo Starch Press
GenreTechnology
FormatPaperback
PublishedJuly 2025
LanguageENG- English
Pages584
Weight1.0 lb
Target AudienceAdults
Print SizeStandard Print

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About Ronald T. Kneusel

Ronald T. Kneusel is a data scientist who builds deep-learning (AI) systems, as well as extensive experience with medical imaging and the development of medical devices. He earned a PhD in machine learning from the University of Colorado, Boulder, has nearly 20 years of machine learning experience in industry, and is presently pursuing deep-learning projects with L3Harris Technologies, Inc. Kneusel is also the author of Random Numbers and Computers (Springer 2018), in addition to Math for Deep Learning, Practical Deep Learning, Strange Code, and The Art of Randomness--all published by No Starch Press.

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