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3 votes

How can a convnet learn with a 3x3 output layer?

I'm going to assume that what you posted is the output of something like model.summary() from TensorFlow/Keras. With that assumption, (None, 3, 3, 64) is the output shape. We can ignore the None, as ...
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1 vote

Can neural networks learn noise?

What explains the apparent 'mirroring' of the graphs on the RHS, The model starts untrained and no better than random guessing (the baseline). As the training progresses, the model does better than ...
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1 vote

MNIST with fewer pixels?

Sklearn has digit dataset with images of size $8 \times 8$: Classes 10 Samples per class ~180 Samples total 1797 Dimensionality 64 Features integers 0-16
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