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<h1 align="center">Welcome to Name Generator Using Recurrent Neural Networks 👋</h1> <p> <img src="https://img.shields.io/badge/version-1.0.0-blue.svg?cacheSeconds=2592000" /> <a href="https://github.com/chaitanyarahalkar/Name-Generator-RNN#README"> <img alt="Documentation" src="https://img.shields.io/badge/documentation-yes-brightgreen.svg" target="_blank" /> </a> <a href="https://github.com/kefranabg/readme-md-generator/graphs/commit-activity"> <img alt="Maintenance" src="https://img.shields.io/badge/Maintained%3F-yes-green.svg" target="_blank" /> </a> <a href="https://github.com/chaitanyarahalkar/Name-Generator-RNN/issues"> <img alt="Issues" src="https://img.shields.io/github/issues/chaitanyarahalkar/Name-Generator-RNN.svg" target="_blank" /> </a> <a href="https://github.com/chaitanyarahalkar/Name-Generator-RNN/blob/master/LICENSE"> <img alt="License: MIT" src="https://img.shields.io/github/license/chaitanyarahalkar/Name-Generator-RNN.svg" /> </a> <a href="https://twitter.com/chairahalkar"> <img alt="Twitter: chairahalkar" src="https://img.shields.io/twitter/follow/chairahalkar.svg?style=social" target="_blank"/> </a> </p>

A Recurrent Neural Network Model that generates human names based on existing data. The entire model is implemented from scratch, without using any deep learning framework like Pytorch, Tensorflow etc.

🏠 Homepage

Prerequisites

Numpy (Install with Pip)

Usage

jupyter lab or jupyter-notebook

Overview of the Model

The model is a character level neural network. Instead of generating a new word based on the previous word, it generates a character. The model will have the following structure:

Initialize parameters
Run the optimization loop
- Forward propagation to compute the loss function
- Backward propagation to compute the gradients with respect to the loss function
- Clip the gradients to avoid exploding gradients
- Using the gradients, update parameters with the gradient descent update rule.
Return the learned parameters

Author

👤 Chaitanya Rahalkar

Twitter: @chairahalkar
Github: @chaitanyarahalkar

🤝 Contributing

Contributions, issues and feature requests are welcome!<br />Feel free to check issues page.

Show your support

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