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
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Inference API (serverless) does not yet support keras models for this pipeline type.