https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)
https://github.com/omerbsezer/basicrnn

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 months ago
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The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

• Host: GitHub
• URL: https://github.com/omerbsezer/basicrnn
• Owner: omerbsezer
• Archived: true
• Created: 2018-08-19T19:55:41.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-08-19T20:28:55.000Z (over 7 years ago)
• Last Synced: 2025-02-26T23:22:27.268Z (about 1 year ago)
• Topics: deep-learning, deep-neural-networks, rnn, tutorial-code
• Language: Python
• Size: 9.77 KB
• Stars: 1
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Basic Recurrent Neural Network

* Recurrent neural network (RNN) is a type of deep learning model that is mostly used for analysis of sequential data (time series data prediction). 

* There are different application areas that are used: Language model, neural machine translation, music generation, time series prediction, financial prediction, etc. 

* The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..).

* Code is adapted from Andrew Ng's Course 'Sequential models'.

## RNN Cell



## RNN Forward Pass



## RNN Cell Backward



## Reference

* Andrew Ng, Sequential Models Course, Deep Learning Specialization