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Dive into Deep Learning

Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola

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Founder connections

  • Jensen HuangBook endorsement
    Huang endorses Dive into Deep Learning in the authors' official book repository, praising it as a deep-learning text and encouraging attention from people who want to understand the field. The endorsement is undated.
    Source

Summary

This textbook combines explanations of deep learning with executable code. The public online edition covers model training, generalization, changes in data distributions, attention mechanisms and transformers.

  • SourceDive into Deep Learning — publisher or author source · Online version 1.0.3 contents; sections 4.6, 4.7 and chapter 11

Why read it Our view

Useful for technical founders building AI products who can work with code and mathematics. It can support study of model behavior and implementation. The evolving online edition is distinct from the 2023 printed book.