In lecture 9b (Data augmentation for neural networks), is the rotation of the numbers here (Data augmentation) increasing N and not D?
N- number of samples D - dimensions
If I am not mistaken, you increase the number of samples at your disposal to train your NN, so it increases N and not D.
Data augmentation
In lecture 9b (Data augmentation for neural networks), is the rotation of the numbers here (Data augmentation) increasing N and not D?
N- number of samples
D - dimensions
If I am not mistaken, you increase the number of samples at your disposal to train your NN, so it increases N and not D.
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