Questions tagged [max-pooling]

For questions related to the max-pooling operation, where the maximum of a set of numbers is chosen as the "representative" of that set of numbers, which is commonly used in convolutional neural networks.

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What is the fundamental difference between max pooling and adaptive max pooling used in PyTorch

PyTorch provides max pooling and adaptive max pooling. Both, max pooling and adaptive max pooling, is defined in three dimensions: 1d, 2d and 3d. For simplicity, I am discussing about 1d in this ...
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Is strided 2d pooling using only reshape and slice operations possible

Is it possible to do strided 2d pooling using only reshape and slice operations? In a nutshell, can you do strided 2d pooling using only np.reshape and slice (eg. <...
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Use case for dilated pooling operator used in a Machine Learning model?

I have seen that most of the deep-learning frameworks have the ability to do dilated pooling. Many frameworks have recently been updated to add the dilated property to the pooling. However, I have not ...
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How can max-pooling be applied to find features in words?

I'm reading about max-pooling in a dynamic CNN paper. I can see how it can help find features in images, given that the pixel with the highest density gets pooled, but how does it help to find ...