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

arXiv Insights · Beginner ·📄 Research Papers Explained ·8y ago
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-visualizat…
Watch on YouTube ↗ (saves to browser)
Moonlake: Multimodal, Interactive, and Efficient World Models — with Fan-yun Sun and Chris Manning
Next Up
Moonlake: Multimodal, Interactive, and Efficient World Models — with Fan-yun Sun and Chris Manning
Latent Space