Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Generative Ai.
per-feature scaling factors and then added to the output of the corresponding convolution. The philosophy behind is that given that the only input to the network is through the input layer, the network needs to invent a way to generate spatially-varying pseudorandom numbers from earlier activations