Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
reliant only on the features extracted from the deep network as a loss is unstable. Since the network implementing the function is often not bijective, due to pooling operation in the hidden layers, different inputs to the function may result in identical latent representations. Thus the loss is