https://github.com/bhargav191098/visualizing-convnets

Visualizing what ConvNets Learn Chapter - Deep Learning with Python by Francois Chollet , but in Pytorch.
https://github.com/bhargav191098/visualizing-convnets

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Visualizing what ConvNets Learn Chapter - Deep Learning with Python by Francois Chollet , but in Pytorch.

• Host: GitHub
• URL: https://github.com/bhargav191098/visualizing-convnets
• Owner: bhargav191098
• Created: 2023-07-19T05:35:09.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-19T05:47:29.000Z (over 1 year ago)
• Last Synced: 2023-07-19T06:42:22.234Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 16.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Visualizing-ConvNets

I wanted to try out the code that Francois wrote for visualizing what the convNets learn in his book (https://www.manning.com/books/deep-learning-with-python)

I used Pytorch and the Cifar-10 dataset.

The repository has two networks - the standard pytorch site code training for cifar-10, that gave 59% accuracy (https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html) and the second network is partly VGG-16 arch kinda network.

I have just added the visualising the convolutional layers for now.



  

   



Will add the grad cam activation maps in a later commit.