Data Science Master's at @KTHKista |Deep Learning |Rare Diseases and Orphan Drugs|
… discuss how a working DCGAN can be built using Keras 2.0 on Tensorflow 1.0 backend in less than 200 lines of code. We will train a DCGAN to learn how to write handwritten digits, the MNIST way.
…ets interesting. We can compute the difference between the styles of two images (style loss) as the difference between the activations of the style filters for each image. Same thing for the difference between …