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Update now installs the new version by itself, however the program was installed (zip, git, pip, pipx, uv).
Copies installed with pip, pipx or git at 1.2.1 or older: update them by hand once
(pipx upgrade neural-network-digits or git pull), then it is automatic.
The window has its own icon (a small neural network) instead of the Python one, and on Windows the taskbar
no longer groups it with the other Python programs.
Strength of the corrections per layer shows the correction of a single weight on average: before, the
big layers looked stronger just because they have more weights, and the order of the layers was often
reversed. Found by u/quietgradient (#13).
The texts on the initial weights and the README experiments say what the charts really show
(x0.1 with sigmoid, x5 with relu).