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If you have a convolutional neural network with a 2 2 4 2 2 4 3 input layer, convolutional layer with 3 3 filters (
If you have a convolutional neural network with a
input layer,
convolutional layer with filters padding to keep image size the same, stride and
output size of
pooling layer of output size and a
fully connected layer of output size
how many total parameters does it have NOT including the bias
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