Classifying Text with a Character-level LSTM

Let's see how to train a character-level LSTM.

We'll now train a character-level LSTM architecture for recognizing the intents. We already practiced text classification with TensorFlow and Keras. Recall that LSTMs are sequential models that process one input at one time step. We fed one word at each time step as follows:

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