Question: 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
2242243 input layer,
convolutional layer with 33 filters (padding to keep image size the same, stride 1) and
output size of 22422432.
pooling layer of output size 11211232, and a
fully connected layer of output size 119,
how many total parameters does it have (NOT including the bias)?
If you have a convolutional neural network with a 2242243 input

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