Category unsupervised-learning
Virtual Adversarial Training is an effective regularization technique which has given good results in supervised learning, semi-supervised learning, and unsupervised clustering.
This post gives an overview of various deep learning based clustering techniques. I will be explaining the latest advances in unsupervised clustering which achieve the state-of-the-art performance by leveraging deep...
Category semi-supervised-learning
Virtual Adversarial Training is an effective regularization technique which has given good results in supervised learning, semi-supervised learning, and unsupervised clustering.
Category image-segmentation
Pixel-wise image segmentation is a well-studied problem in computer vision. The task of semantic image segmentation is to classify each pixel in the image. In this post, we will discuss...
