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DFL Fellowship 2019 Blog Post Draft: "Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice"

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Depth First Learning

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We're looking for people to help make DFL better. Here are some ways you can help:

  • Run a study group based on one of our guides, and let us know about it. What worked well? What didn't?
  • Check out the open issues, where we keep track of improvements that we'd like to see.
  • Tell us what our guides are missing, or where they may be confusing, by filing issues.
  • Improve our guides, by filing pull requests. We are especially looking for Colabs with lots of explanatory text to explain and reproduce results. All of the content is stored in markdown under the posts/ directory.
  • Add guides for other papers! Reach out to us at [email protected] and let's talk.

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DFL Fellowship 2019 Blog Post Draft: "Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice"

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