https://github.com/es7/rnn-lstm-gru-from-scratch
In this repository, I have created the RNN, LSTM and GRU architectures, provided the code for building it from scratch, and demonstrated how to train it.
https://github.com/es7/rnn-lstm-gru-from-scratch
deep-learning gru lstm machine-learning natural-language-processing neural-networks rnn
Last synced: 10 months ago
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In this repository, I have created the RNN, LSTM and GRU architectures, provided the code for building it from scratch, and demonstrated how to train it.
- Host: GitHub
- URL: https://github.com/es7/rnn-lstm-gru-from-scratch
- Owner: ES7
- License: mit
- Created: 2024-06-25T16:45:26.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-26T15:10:49.000Z (almost 2 years ago)
- Last Synced: 2025-01-11T08:17:14.383Z (over 1 year ago)
- Topics: deep-learning, gru, lstm, machine-learning, natural-language-processing, neural-networks, rnn
- Language: Jupyter Notebook
- Homepage:
- Size: 151 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# RNN-LSTM-GRU-from-Scratch
This project involves the implementation of RNN, LSTM, and GRU models from scratch using PyTorch for sentiment analysis on the IMDB dataset. The goal is to build a comprehensive understanding of these recurrent neural network architectures, train them on a popular dataset for sentiment analysis, and visualize their computational graphs using `torchviz`. The project explores the theoretical foundations, practical implementation, and training processes of these models, aiming to provide insights into their effectiveness in natural language processing tasks.
**For detailed explaination :-** [Building RNN, LSTM, GRU from Scratch](https://medium.com/@sayedebad.777/building-rnn-lstm-and-gru-from-scratch-e27ebb0f8e0f)