Skip to content

Instantly share code, notes, and snippets.

@eamartin

eamartin/notebook.ipynb

Last active November 6, 2022 18:53
Show Gist options
  • Save eamartin/d7f1f71e5ce54112fe05e2f2f17ebedf to your computer and use it in GitHub Desktop.
Save eamartin/d7f1f71e5ce54112fe05e2f2f17ebedf to your computer and use it in GitHub Desktop.
Download ZIP
Understanding & Visualizing Self-Normalizing Neural Networks
Display the source blob
Display the rendered blob
Raw
notebook.ipynb
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@wtesler
Copy link

wtesler commented Jul 17, 2017

Awesome

@gklambauer
Copy link

Nice work!

@smoussa
Copy link

smoussa commented Jul 19, 2017

Brilliant :) Very clear.

@gngdb
Copy link

gngdb commented Jul 28, 2017

Was wondering if this also worked for convolutional networks, so added a section to this notebook with a conv2d experiment. It's here: https://gist.github.com/gngdb/a122ae86c0b897cffebdb9481e321c9d

@mschulkind
Copy link

Recall the special property of the activation function is to map ... Var[h] = 0

Don't you mean Var[h] = 1?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment