| --- |
| license: mit |
| datasets: |
| - madha98/Shakespeare |
| language: |
| - en |
| library_name: keras |
| pipeline_tag: text-generation |
| tags: |
| - text-generation-inference |
| --- |
| # Automatic Text Generation Using LSTM |
|
|
| ## Overview |
|
|
| 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. |
|
|
| ## Introduction |
|
|
| 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. |
| **Long Short-Term Memory (LSTM):** A type of RNN architecture designed to overcome the vanishing gradient problem, often used for improved text generation. |
|
|
| ## License |
|
|
| This project is licensed under the MIT License |
|
|
| ### Happy CODING...!! 💻 |
