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The Mathematics of Deep Learning

The class site is at http://www.anishathalye.com/mathematics-of-deep-learning/

I'll be uploading lecture videos at some point and linking to them from here. If you're going through the material (slides, notes, and Jupyter notebooks) in this repository independently, I highly recommend either watching the lecture videos or reading through the presenter notes while reading the slides.

Outline

  • Introduction (00-xx)
  • Key ideas, part 1 (01-xx)
    • Program search
    • Gradient descent
    • Computational graphs
    • Backpropagation
  • Key ideas, part 2 (02-xx)
    • Search spaces
  • Hands-on (03-xx)
    • Adversarial examples
    • Transfer learning

License

All rights reserved. Please do not copy or redistribute without permission.

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The Mathematics of Deep Learning, SIPB IAP 2018

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  • Jupyter Notebook 96.7%
  • HTML 2.1%
  • Python 1.2%