Tagged “Language-Models”

  1. A neural character-level bigram language model, optimized with gradient descent rather than counted from the training data.

  2. Generalizing the statistical bigram model to arbitrary n-grams, and using it as a vehicle to explore hyperparameter tuning.

  3. Building a statistical character-level bigram language model - the first step from raw autograd toward models that emulate natural language.