Pre-Owned Practical Deep Learning, 2nd Edition: A Python-Based Introduction (Paperback) 1718504209 9781718504202
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Pre-Owned Practical Deep Learning, 2nd Edition: A Python-Based Introduction (Paperback) 1718504209 9781718504202

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Key item features

  • Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction
  • ISBN10: 1718504209
  • EAN: 9781718504202
  • Genre: COMPUTERS / Neural Networks
  • Author: Kneusel, Ronald T.
  • Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.

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Publication date, July, 2025Author, Kneusel, Ronald T.Book format, PaperbackGenre, Computing & InternetPages, 584Age group, Adult

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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).
  • Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction
  • ISBN10: 1718504209
  • EAN: 9781718504202
  • Genre: COMPUTERS / Neural Networks
  • Author: Kneusel, Ronald T.
  • Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.
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A well-cared-for item that has seen limited use but remains in great condition. Item and instructions are complete and included.

What is the Walmart Pre-Owned Program?

Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.

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Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.

Specifications

Publication date

July, 2025

Author

Kneusel, Ronald T.

Book format

Paperback

Genre

Computing & Internet

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