4 ms·

Actually, spatial dimensions are maintained across convolution layers by adding appropriate padding - only the pooling layers change spatial dimensions. I belie

by nihitd 10y ago

Actually, spatial dimensions are maintained across convolution layers by adding appropriate padding - only the pooling layers change spatial dimensions. I believe "padding = SAME" argument takes care of this in Tensorflow(?)

p1esk 10y ago
Why would you want to maintain spatial dimensions? Padding here does not make any sense.