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'How neural networks learn' - Part I: Feature Visualization
Sep 17, 2020
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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-visu
... Sander Dieleman post on music recommendation:
http://benanne.github.io/2014/08/05/s
... Blogpost on Deep Feature visualisation:
http://yosinski.com/deepvis
Github link to DeepVis Toolbox:
https://github.com/yosinski/deep-visu
... 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-steenbr
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Category: Research Paper
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