For questions related to the filters (also known as kernels) of a convolutional layer (of a convolutional neural network) or, in general, used in a convolution operation. If you are looking for kernel functions (for example, used in the context of Gaussian processes or SVMs), you use the tag "kernel-functions".
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In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?
In a CNN, does each new filter have different weights for each input channel, or are the same weights of each filter used across input channels?
How to calculate the number of parameters of a convolutional layer?
Are filters fixed or learned?
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