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I think the concept of deep dreaming would become so much more interesting if we could train such a neural net ourselves.
But training one must take so much longer than having it tell us what it sees.
However, eventually we might train networks to actually inform creative decisions in neat ways.

Thanks for that. I will have a look.

in windows land its called the page file

Hey Dinkydau...you might want to check out Googlenet_places205 if you're not aware of it.

It's available from the GithHub Model Zoo: https://github.com/BVLC/caffe/wiki/Model-Zoo

indeed, my intent was only to give you, Dinkydau, another option for rendering these crazy images.

@Chilli : I tried all the deep dream code I could get my hands on and CNN-vis is the one that, I think, has the most potential for hacking and the best memory management. It uses CUDA for just about everything via caffe and python, you have to compile caffe with USECUDNN (check the makefile for flags), I think there is a flag in CNN-vis too that needs to be set but going through the trouble of setting up and compiling everything with CUDA options enabled means that 7680x4320 image took 45 min on my quad core xeon @ 2.83Ghz, 6G+2Gswap and a 2G GeForce 760. This setup exploits page swap ? tiling on the GPU because there isn't enough ram (just 2G) to do it all on the GPU and that means optimized memory usage.

one cavaet, you also need to register as a developer to get the cuDNN library code @ NVIDIA cuDNN – GPU Accelerated Deep Learning again well worth the trouble