For this week, I’ll be exploring deep dream and tweaking hyperparameters that affect the output of the final result.
I noticed that deep dream tends to perform better on images that are brighter / more saturated, so I found an image of this flower to test with.
Original
Base Hyperparameters
Octaves – 5
mixed02 – 2
Step – .5
Here we see that theres a high amount of noise, suggesting that with a high learning rate too high, we might undershoot the global maximum, leading to a network that doesnt learn anything