12. Convolutional Layers (Part 2)

The Jupyter notebook described in the video can be accessed from the deep-learning-v2-pytorch GitHub respository linked here. Navigate to the conv-visualization/ folder and open conv_visualization.ipynb.

Optional Resource

• Check out this website, which allows you to create your own filter. You can then use your webcam as input to a convolutional layer and visualize the corresponding activation map!