Computer & Data Science
Neural-Network Training
loss ↓, accuracy ↑ over epochs

As gradient descent runs, training loss decays toward zero while validation accuracy climbs toward a plateau.
Computed & rendered in pure C# on the frozen OnlyCSharp 1.8 library — animation baked to GIF with the library's own
Gif encoder (no GPU, no ffmpeg, no external packages).