Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
DenseNet. We use minimalistic custom architecture. Takes a vector of noise [N] and outputs an image of [H, W, C]. The network has to perform synthesis. Again, we use a very minimalistic custom architecture. It is important to define the models properly in Keras so that the weights of the respective