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To play with this spreadsheet, you'll need to make a copy that you can edit (File > Make a Copy). Then, copy the contents of one of the notes below (a 16 by 16 tab-separated grid of numbers from 0-255) into L0:Input. That feeds in the given image into the network. The category should change to the label the network thinks is correct. Feel free to browse through the worksheets, or check out the explanation video links below for a walkthrough of why this works and how the various values where chosen.
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Video Walkthrough Part 1
Video Walkthrough Part 2
Keras Equivalent (real CNN)
Python code to generate the input/training data
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t1.pngt6.pngt10.png
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