CNN filters category selectivity

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This project helps to understand a CNN's properties:

• which layer contains filters sensitive to a certain category
• what kind of image categories activate particular filter
• which layer to choose for latent feature extraction for a given category

VGG16 from keras.applications is used as a CNN model.

Prerequisites

Required libraries

keras
plotly
ipywidgets

How to:

1. Put your images into a folder, containing subfolders for every category you are interested in.
2. Lauch category_selectivity.ipynb to get the activations and measure category selectivity for each filter from chosen layers.
3. Go to plot_filter_selectivity.ipynb to visualize the results.

Category Selectivity

To measure neuron's preferences towards a category, I propose to normalize the neurons responses first and, then, to measure a proportion of activativations related the category:

Authors

• Katerina Malakhova - taneta

License

This project is licensed under the MIT License - see the LICENSE.md file for details