4
$\begingroup$

How many weights does the max-pooling layer have?

For example, if there are 10 inputs, a pooling filter of size 2, stride 2, how many weights, including bias, does a max-pooling layer have?

$\endgroup$
0
1
$\begingroup$

A max-pooling layer doesn't have any trainable weights. It has only hyperparameters, but they are non-trainable. The max-pooling process calculates the maximum value of the filter, which consists of no weights and biases. It is purely a way to downscale the data to a smaller dimension.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.