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Created November 13, 2017 02:32
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Stanford's Stats 385 - Theories of Deep Learning
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syllabus.md

Stats 385

Posting notes at @stats385.

  1. Deep Learning Challenge. Is There Theory?
  2. Overview of Deep Learning From a Practical Point of View
  3. Harmonic Analysis of Deep Convolutional Neural Networks
  4. Convnets from First Principles: Generative Models, Dynamic Programming & EM
  5. When Can Deep Networks Avoid the Curse of Dimensionality and Other Theoretical Puzzles
  6. Views of Deep Networks from Reproducing Kernel Hilbert Spaces
  7. Understanding and Improving Deep Learning With Random Matrix Theory
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