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Convolutional Neural Networks are a type of neural network in which only subsets of possible connections between layers exist to create overlapping regions. They are commonly used for visual tasks.

1 vote

Why does overlapped pooling help reduce overfitting in conv nets?

I think this can be better explained from a digital signal processing point of view. Intuitively max-pooling is a non-linear sub-sampling operation. Average pooling, on the other hand can be thought …
Samuele Cornell's user avatar