Tagged “Language-Models”
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A neural character-level bigram language model, optimized with gradient descent rather than counted from the training data.
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Generalizing the statistical bigram model to arbitrary n-grams, and using it as a vehicle to explore hyperparameter tuning.
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Building a statistical character-level bigram language model - the first step from raw autograd toward models that emulate natural language.