Why there is no bias and coefficient trainable parameters in the Max- and Average-Pooling Layers?

For many Network, there are 2 trainable parameters in Polling Layers: Bias and Coefficient

Y=Coefficient*Max(X)+Bias;

Why the Matlab Layer doesn't support it? Are those 2 parameters not very useful for the final performance?

Answer 1

[Sailesh Sidhwani]

Hi Lingjun,

Based on the MATLAB documentation, max-pooling and average-pooling layers does not perform any learning and are only used for down-sampling the data. Refer to the the section "More About" in the following documentation pages:

Average-pooling layer: https://www.mathworks.com/help/nnet/ref/averagepooling2dlayer.html

Max-pooling layer: https://www.mathworks.com/help/nnet/ref/maxpooling2dlayer.html

[LINGJUN KONG]

Is that because of that, the parameters are not very useful for the downsampling layer? I've seen that there are 2 trainable parameters in the LeNet-5