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Details for:
Kneusel R. Practical Deep Learning. A Python-Based Introduction 2ed 2025
kneusel r practical deep learning python based introduction 2ed 2025
Type:
E-books
Files:
2
Size:
40.1 MB
Uploaded On:
May 23, 2025, 9:27 a.m.
Added By:
andryold1
Seeders:
8
Leechers:
0
Info Hash:
F551124F06B9EA90C83CF7BAC0F0D51D9A1D14AD
Get This Torrent
Textbook in PDF format 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)
Get This Torrent
Kneusel R. Practical Deep Learning. A Python-Based Introduction 2ed 2025.pdf
17.6 MB
Code.zip
22.5 MB
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