For questions about max pooling (as well as average pooling) operation, commonly used in convolutional neural networks for downsampling.
Questions tagged [max-pooling]
122 questions
-1
votes
1 answer
About max-pooling?
Max-pooling is useful in vision for two reasons:
By eliminating non-maximal values, it reduces computation for upper
layers.
It provides a form of translation invariance. Imagine cascading a
max-pooling layer with a convolutional layer. There…
Gauss
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-4
votes
2 answers
Array Padding Numpy
I have the following matrix:
x = \
np.array([[[[0.99256822, 0.63019905],
[0.77484078, 0.27471319]],
[[0.94722451, 0.95948516],
[0.81838252, 0.48979609]],
[[0.81673764, …
Alk
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