These are a series of self-contained notebook that show you how to visualize classes, features, and receptive fields, and a few other things in a neural network in tensorflow. I also wrote a short set of blog posts about this code.
-
Notifications
You must be signed in to change notification settings - Fork 3
timsainb/tensorflow-2-feature-visualization-notebooks
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Feature and class visualization with deep neural networks in tensorflow. Contains deepdream, style transfer, receptive field visualization, convolutional filter visualization, etc.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published