Keras-based Deepdream experiment based on VGG19

Fork I’ve just published a repository ( with a Jupyter notebook containing a Deepdream ( experiment created with Keras and a pre-trained VGG19 convolutional network. The experiment (which is a work in progress) is based on some suggestions provided by the Deepdream team in this blog post but works in a slightly different way. I use a Gaussian Pyramid and average the rescaled results of a layer with the next one. A total variation loss could be employed too, but after some experiments, I’ve preferred to remove it because of its blur effect. Some examples obtained with different settings in terms of layers and number of iterations:   It’s possible to create amazing videos by zooming into the same image. This in an example created with 1500 frames: Deepdream animation with Keras and VGG19 This video has been created using the notebook which is a Deepdream experiment based on some suggestions provided […]