neural network - How to choose the number of filters in each Convolutional Layer? -


when building convolutional neural network, how determine number of filters used in each convolutional layer. know there no hard rule number of filters, experience/ papers have read, etc. there intuition/observation number of filters used?

for instance (i'm making example):

  • use more/less filters network gets deeper.

  • use larger/smaller filter large/small kernel size

  • if object of interest in image large/small, use ...

as said, there no hard rules this.

but can inspiration vgg16 example.

it double number of filters between each conv layers. kernel size, keep 3x3 or 5x5.

but, can take @ inception google. use varying kernel size, concat them. interesting.


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