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Summary: Applications of LSTMs—Generating Text

Explore the applications of LSTMs in generating text by training models on story data and enhancing outputs with techniques like peephole LSTMs, GRUs, beam search, and word embeddings. Understand performance comparisons and how these methods improve text realism.

In this chapter, we looked at the implementations of the LSTM algorithm and other various important aspects to improve LSTMs beyond standard performance. As an exercise, we trained our LSTM on the text of stories by the Grimm brothers and asked the LSTM to output a fresh new story. We ...