https://github.com/omarsar/rnn_introduction_fundamentals
Introduction to the Fundamentals of RNN
https://github.com/omarsar/rnn_introduction_fundamentals
classification deep-learning machine-learning recurrent-neural-networks rnn rnn-tensorflow
Last synced: 2 months ago
JSON representation
Introduction to the Fundamentals of RNN
- Host: GitHub
- URL: https://github.com/omarsar/rnn_introduction_fundamentals
- Owner: omarsar
- Created: 2017-12-19T02:24:48.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-19T03:51:07.000Z (over 7 years ago)
- Last Synced: 2025-03-24T18:13:04.280Z (3 months ago)
- Topics: classification, deep-learning, machine-learning, recurrent-neural-networks, rnn, rnn-tensorflow
- Language: Jupyter Notebook
- Size: 5.75 MB
- Stars: 7
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Introduction to the Fundamentals of Recurrent Neural Networks (RNNs). This material is for beginners and anyone wanting to review the basics of Recurrent Neural Networks. All code is in Tensorflow.
Find accompanying slides [here](https://github.com/omarsar/rnn_introduction_fundamentals/blob/master/Introduction%20to%20fundamentals%20of%20RNNs.pdf).
Find accompanying code [here](https://github.com/omarsar/rnn_introduction_fundamentals/blob/master/RNN.ipynb).
Preview of Slides:

Preview of Jupyter Nodebook:
