Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
layer), resulting in the output (F(x)) which is then summed with the original input x. During back-propagation, the gradient thus propagates back through the network via the non-linearity F(x) and the original x, resulting in much more efficient updates. U-NET Image by Olaf Ronneberger. U-NET is a