GAN

Tagged

A collection of 2 posts

A Guide to Using U-Nets for Image Segmentation

Image segmentation is a powerful technique to locate objects or boundaries in images on a per-pixel level. In this blog we take a quick look at how U-Nets work, explore how they build on standard CNNs, and show how easy it is to build and iterate on U-Nets in PerceptiLabs.

Machine Learning

Exploring Generative Adversarial Networks (GANs)

A generative adversarial network (GAN) is a powerful approach to machine learning (ML). At a high level, a GAN is simply two neural networks that feed into each other. One produces increasingly accurate data while the other gradually improves its ability to classify such data. In this blog we'll dive