CNN: Fix wrong output values due to missing dequant #25
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The outputs were frequently invalid without this, sometimes containing NaN values or huge numbers This brings the MNIST example from 60% to 94% accuracy
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The MNIST example was just scoring 60% when running using emlearn-cnn. This turned out to be due to not using the dequantize option in TinyMaix. With this fixed, the score was 94% on 5 samples per class - quite close to the 97% in the validation set.