CNN Explainer - Interpreting Convolutional Neural Networks (3/N)

Visualizing Boosted Convolutional Features

In today’s article, we are going to investigate what Convolutional Neural Networks (CNNs) learn during the object classification task. Visualizing CNN’s features would allow us to see what from CNN’s point of view makes thing a thing. By the end of this article, you will be able to visualize hierarchical features reflecting how CNNs ‘understand’ images.

In other words - if you are curious about what’s in the below image, keep reading!

(source: author)

This is the third part of the CNN Explainer series. If you haven’t checked previous parts yet, feel free to do it now.

CNN Explainer - Interpreting Convolutional Neural Networks (1/N)