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Hands-On Natural Language Processing with Python by Rajalingappaa Shanmugamani, Rajesh Arumugam

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Summary

In this chapter, we implemented a character-level, LSTM-based neural network for developing an algorithm to detect named entities. We showed that complex methods can be implemented easily by using TensorFlow, and we looked at methods to improve the performance of our model.

In the next chapter, we will discuss how to develop a deep neural network for text generation. 

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