Deep Learning, Artificial Intelligence, Convolutional Network, Super Resolution, Generative Adversarial.
after activation If features after activation layers are used, there would be drawbacks: First, the activated features are very sparse, as shown above, especially after a very deep network. For example, the average percentage of activated neurons for image ‘baboon’ after the VGG19–546 layer is