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Deep Learning (Flower Book)

Descriptions

  • Source: Ian Goodfellow, Yoshua Bengio, Aaron Courville
  • Prerequisites: ML basics, linear algebra, probability, calculus
  • Difficulty: 🌟🌟🌟🌟
  • Class Hour: 80+

Deep Learning (Flower Book) is the "bible" of deep learning, written by three top DL researchers. The "flower" comes from the flower on the cover.

Resources

Content

  • Part 1: Math Foundations
  • Part 2: DL Foundations (MLP, CNN, RNN, Regularization)
  • Part 3: Frontier Research (Generative Models, Representation Learning)

Tips

Read after Andrew Ng. The Flower Book is theory-heavy; build intuition first.

Notes

The Flower Book is one of the best textbooks for advanced DL theory. Essential for deep mathematical understanding of DL.

Not for complete beginners. Start with Andrew Ng, then read the Flower Book.