Deep Learning, Artificial Intelligence, Convolutional Network, Image Classification, Resnet.
inputs (x1, x2) and produces outputs (y1, y2) and residual functions F and G analogous to those in standard ResNets: Reverse (Figure 2(b)): Each layer’s activations can be reconstructed from the next layer’s activations as follows: Unlike residual blocks, reversible blocks must have a stride of 1