'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: https://distill.pub/2017/feature-visualization/ Sander Dieleman post on music recommendation: http://benanne.github.io/2014/08/05/spotify-cnns.html Blogpost on Deep Feature visualisation: http://yosinski.com/deepvis Github link to DeepVis Toolbox: https://github.com/yosinski/deep-visualization-toolbox Paper by Zeiler & Fergus: https://arxiv.org/abs/1311.2901 If you want to support this channel, here is my patreon link: https://patreon.com/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: https://pensight.com/x/xander-steenbrugge