Among deep learning practitioners, Kullback-Leibler divergence (KL divergence) is perhaps best known for its role in training variational autoencoders (VAEs). To learn an...
Here, stereotypically, is the process of applied deep learning: Gather/get data;
iteratively train and evaluate; deploy. Repeat (or have it all automated as a
continuous...
