Generative Adversarial Network (GAN) extensions and applications in image processing and generation

When human brains process input from the senses they are able to effortlessly imagine new instances and scenarios from only a small amount of input experience. Generative Adversarial Networks (GANs) manages to some extent to achieve this imagination ability for datasets. We explore this technique and its applicability in image processing and generation. This has applications in areas like medicine, physics, and artificial intelligence.

Project thesis

Currently I’m writing my master thesis on Generative Adversarial Networks. This is a exciting technology that has been pushing the boundaries of AI and of what is conceived possible.

I started to write my projet thesis on several techniques and theortical insights involving neural networks. It can be seen here.

I will update this with my master thesis later.