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Practical deep learning : a Python-based introduction / Ronald T. Kneusel

By: Material type: TextPublication details: San Francisco : No Starch Press, 2025Edition: 2nd edDescription: xxxii, 551 pISBN:
  • 9781718504202
Subject(s): DDC classification:
  • 006.31 KNE-P
Summary: "An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. 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)"-- Provided by publisher
Item type: Books
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UMT Main Campus 006.31 KNE-P (Browse shelf(Opens below)) Available 153347

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"An introduction to machine learning and deep learning for beginners. Covers fundamental concepts before presenting classic machine learning models, neural networks, and modern convolutional neural networks. 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)"-- Provided by publisher

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