National Novel Generation Month has kicked off, and this year I'm going to take a stab. Based on Google's Deep Dream, I'm going to train a neural net on books (probably from Gutenberg, but we'll see), then run it backwards and see what gets generated.
Download and install TensorFlow
Install the gutenberg pip module:
pip install gutenberg
Download from Gutenberg, with category data for each.
Probably need to trim off the legal boilerplate.
I'll base this on TensorFlow.
Base this on the code samples at Deep Dream.