Deep Learning Part 2
After a major release of the game I work on, some down time was awarded which meant more time to get back into the sandbox. Some house cleaning moving from Keras 1.0 to Keras 2.x, trying Tensorflow as my backend instead of Theano which I had used exclusively before. As well as some other updated python libraries. Here are some new images with some lots of improvements over the tests from 12+ months ago. Convergence time is much quicker. Instead of potentially a few dozen iteration usefully under 20 is more than enough with quickly demonizing returns be about the tenth iteration.
Here is another batch with the old pink image reworked for comparison. Not much difference but far quicker result. In general more style input images seem to be successful in producing satisfactory results basically meaning higher success rate.