https://github.com/jonbruner/interpreting-neural-networks

A few iPython notebooks on interpretation of neural networks
https://github.com/jonbruner/interpreting-neural-networks

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A few iPython notebooks on interpretation of neural networks

• Host: GitHub
• URL: https://github.com/jonbruner/interpreting-neural-networks
• Owner: jonbruner
• License: mpl-2.0
• Created: 2017-01-13T07:19:18.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-07-22T17:35:10.000Z (over 7 years ago)
• Last Synced: 2024-01-19T11:18:20.557Z (10 months ago)
• Language: HTML
• Size: 61.3 MB
• Stars: 4
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Interpreting neural networks

A few iPython notebooks on interpretation of neural networks

Begin with [part 1](https://www.jebruner.com/2017/07/interpreting-and-fooling-convolutional-neural-networks-part-1/), which is the introductory narrative and overview, and then move on to [part 2](https://www.jebruner.com/2017/07/interpreting-and-fooling-convolutional-neural-networks-part-2-with-code/), which has code samples.

I recommend viewing these [on my web site](https://www.jebruner.com/2017/07/interpreting-and-fooling-convolutional-neural-networks-part-1/) (GitHub doesn't render output scrolling in Jupyter notebooks), but be sure to download the original .ipynb files to run on your own machine.

## Contents

1. [Introduction and overview](https://www.jebruner.com/2017/07/interpreting-and-fooling-convolutional-neural-networks-part-1/)

2. [In-depth code samples](https://www.jebruner.com/2017/07/interpreting-and-fooling-convolutional-neural-networks-part-2-with-code/)