If you are interested in math and neural networks, it is impossible that you haven’t heard of Kullback-Leibler Divergence or KL-Divergence as it is popularly called in the deep learning community. It plays a pivotal role, especially in Generative Adversarial Networks (GANs). While the definition and equation seem pretty straightforward, I have a question.
New Knowledge Must Be Learned, Not Preached
Lately, some of these commentators promoted the claim that the spherules we collected in an expedition to the Pacific Ocean and analyzed carefully with the best…