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--- |
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license: mit |
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datasets: |
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- madha98/Shakespeare |
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language: |
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- en |
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library_name: keras |
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pipeline_tag: text-generation |
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tags: |
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- text-generation-inference |
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--- |
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# Automatic Text Generation Using LSTM |
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## Overview |
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It contains code and resources for Automatic Text Generation. The goal is to explore and implement state-of-the-art methods in natural language processing (NLP) to generate coherent and contextually relevant text. |
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## Introduction |
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Text generation is a fascinating field within natural language processing that involves creating textual content using machine learning models. This project aims to showcase different techniques and libraries for automatic text generation, providing a starting point for enthusiasts and practitioners interested in this area. |
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**Long Short-Term Memory (LSTM):** A type of RNN architecture designed to overcome the vanishing gradient problem, often used for improved text generation. |
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## License |
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This project is licensed under the MIT License |
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### Happy CODING...!! 💻 |
