There’s alot to learn generally about DD, mainly: python, calculus, statistics, convolutional neural networks. start here
What does it look like?
Here’s a listing of different channels you can run DD through. Every layer has n number of channels. This lists all the layers: http://storage.googleapis.com/deepdream/visualz/tensorflow_inception/index.html And here’s the channels for mixed4a_5x5_bottleneck_pre_relu: http://storage.googleapis.com/deepdream/visualz/tensorflow_inception/mixed4a_5x5_bottleneck_pre_relu.html
Don’t know how to code? No problem
I run an OS project to make it easier to get into DD, called bind. I do it because I love DD, I think art and tech meet here, and the future of art includes ML, DD, DL, and I want do my part, get people excited about it.
I include on that github page everything you need to start making cool images or videos.
hands down, it’s style transer, neural style, fast neural style and the like. https://github.com/lengstrom/fast-style-transfer https://github.com/andersbll/neural_artistic_style
Check em out, there’s a huge amount of different approaches. Personally DD is my favorite, but most people have moved on (the algo was release in ‘15 by google engineer Alexander Mordvintsev https://en.wikipedia.org/wiki/DeepDream)