An image recognition network dreams about every object it knows. Part ½: animals
Video from Ville-Matias Heikkilä uses deep-dream like technique to reveal collected neural dataset on various animals (and not puppyslugs)- the video here displays 500 of them:
Network used: VGG CNN-S (pretrained with Imagenet)
There are 1000 output neurons in the network, one for each image recognition category. In this video, the output of each of these neurons is separately amplified using backpropagation (i.e. deep dreaming).