Gist 628b2fab1b21dd2fd74ddc2e7469261f
✓ Published0🌍 Public
CCharlesFr
Last edited Mar 26, 2017
Created on Mar 26, 2017
This interactive visualization demonstrates a neural network classifying handwritten digits from the MNIST dataset, showing the network’s ten output activations for each input image. It uses Processing’s `loadBytes()` to read 196-byte image data and 10,000 label bytes, splitting the data set so that four out of five cards train the model while every fifth card tests it. The code defines a `Card` class that stores input arrays and output arrays, highlighting the correct answer within the template outputs during label loading.
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