Text Generation is a task in Natural Language Processing (NLP) in which text is generated with some constraints such as initial characters or initial words. We come across this task in our day-to-day applications such as character/word/sentence predictions while typing texts in Gmail, Google Docs, Smartphone keyboard, and chatbot. Understanding of text generation forms the base to advanced NLP tasks such as Neural Machine Translation.

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This article discusses the text generation task to predict the next character given its previous characters. It employs a recurrent neural network with LSTM layers to achieve the task. The deep learning process will be carried out using TensorFlow’s Keras, a high-level API.

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