previous layers are typically convolutional. After convertingfully connected layers to convolutional layers, the entire net-work becomes convolutional, allowing the outputs of eachlayer to be reused as the convolution slides the network overa larger input. Instead of a scalar output, the new output is a2-dimensional map of ﬁlter activations.