'How neural networks learn' - Part I: Feature Visualization

Interpreting what neural networks are doing is a tricky problem.
In this video I dive into the approach of feature visualisation.
From simple neuron excitation to the Deep Visualisation Toolbox and the Google DeepDream project, let's open up the black box!
Links:
Distill.pub post on Feature Visualisation: distill.pub/20...
Sander Dieleman post on music recommendation: benanne.github....
Blogpost on Deep Feature visualisation: yosinski.com/de...
Github link to DeepVis Toolbox: github.com/yos...
Paper by Zeiler & Fergus: arxiv.org/abs/...
If you want to support this channel, here is my patreon link:
/ arxivinsights --- You are amazing!! ;)
If you have questions you would like to discuss with me personally, you can book a 1-on-1 video call through Pensight: pensight.com/x...