Loss Scaling Free [repack] Jun 2026

# Compile the model model.compile(optimizer='adam', loss=loss_fn)

Standard 16-bit floating point (FP16) has a limited dynamic range. Without scaling, gradients often become so small they "underflow" (turn into zero), effectively killing the training process. loss scaling free