27. Convolutional Layers (Part 2)
Camadas convolucionais
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!