Normalized center loss for language modeling – Towards Data Science – Medium

Caveat: Some knowledge of recurrent neural networks is assumed. In Language Modeling we try to predict the next word given a sequence of words. The machine learning model computes probabilities of the possible values for the next word. And a word is sampled from the generated probability distribution. You build a recurrent neural network architecture.