Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization Jason Yosinski, Jeff Clune, Anh Nguyen, Thomas Fuchs, and Hod Lipson Quick links: ICML DL Workshop paper | code | video These images are synthetically generated to maximally activate individual neurons in a Deep Neural Network (DNN). They show what each neuron “wants to see”, and thus what each neuron has learned to look for. The neurons sel
GitHub - yosinski/deep-visualization-toolbox: DeepVis Toolbox
The main toolbox window looks like this, here showing a convolutional unit that responds to automobile wheels: For a quick tour of the toolbox features, including what each pane of the above interface is showing, watch this 4 min YouTube video. In addition to processing images files from disk, the toolbox can run off a webcam for live network visualization (below left). The toolbox comes bundled w
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