Fully- Convolutional Neural Networks
In fully convolutional networks the last fully connected layer (linear layer) gets replaced by a 1 x 1 convolution. This allows to preserve the spatial information and removes the constraint of the input size image, in CNNs the fully connected layer shape is different for every image size but not in this case. A Fully-Convolutional…