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VisualizationsNeural Networks & How They Learn

Training Curves

Training loss and validation loss, measured on held-back data, fall together, then level off with a small, steady gap. This is what a healthy run looks like.

training validation
Healthy
Both curves fall together and flatten, with a small steady gap. Nothing to fix.
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