· why fully-connected neural network is not always better than convolutional neural network? If we use a fully connected layer for any … · the second path is the symmetric expanding path (also called as the decoder) which is used to enable … · a fully convolution network (fcn) is a neural network that only performs convolution (and subsampling or … · there are mainly two main reasons for which we use fcn: · in the next level, we use the predicted segmentation maps as a second input channel to the 3d fcn while …
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· why fully-connected neural network is not always better than convolutional neural network? If we use a fully connected layer for any … · the...
