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 ...
- 31
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 ...
- 24.4k
1
vote
Accepted
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
- 1,854
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