I am blown away by VQGAN+CLIP, a pair of neural network architectures that can be used to generate images from text. When I wrote my previous post on “A game of AI telephone“, it was not clear to me yet how exciting this technology actually is. Or rather, I had not used the right text… Continue reading Image generation with VQGAN + CLIP
In my continuing exploration of generative adversarial networks, I found “The Painting Dataset” and wrote a short script to extract the images from it. Only about 1200 paintings seems to be valid, but it is at least something.
Some weeks ago, I was at a get together with my old university friends that we call “the hack day”. It usually revolves around drinking lots of coffee and soft drinks, eating loads of chips and candy, as well as working on the occasional masterpiece project like Zombie Hugs. At the end of the day,… Continue reading 2 + 2 with neural networks
I have been looking into a machine learning technique called reinforcement learning (RL) lately. This was on my TODO for a while, and I must say, this field is incredibly exciting! I played around with some OpenAI Gym environments and re-implemented two RL algorithms mostly based on code I found from other authors. After spending… Continue reading Reinforcement learning