A cluster of notebooks handy for deep learning using IPython notebooks.
NOTE: Nervy-notebooks has been selected as a project for NJACK Winter of Code 2017. For contributing and being recognised for your valuable contribution, please send your IPython notebbok PR to this fork
While learning deep learning, I never could just skim off one source. There were blogs, tutorial websites, books and a lot of stuff. A lot of time was wasted looking at good resources. Thus nervy-notebooks was formed: to create a guide for deep learning to be used by all!
Python
Get IPython with pip using following command:
$ pip install ipython
- nn-from-scratch.ipynb
- autoencoder_with_MNIST.ipynb
- LSTM.ipynb
- multilayer_perceptron_MNIST.ipynb
- None
- recurrent_neural_network.ipynb
- None
- Stacked_Denoising_Autoencoder.ipynb
- rnn_using_dynet.ipynb
- nn-from-scratch.ipynb
- None
- autoencoder_with_MNIST.ipynb
- LSTM.ipynb
- multilayer_perceptron_MNIST.ipynb
- recurrent_neural_network.ipynb
- Stacked_Denoising_Encoder.ipynb
- rnn_using_dynet.ipynb
Your contributions are always welcome! Please have a look at the contribution guidelines first.
Fork the repository by clicking on the Fork button in the top-right corner of the page.
Clone the repository using following command:
git clone https://github.com/YOUR-USERNAME/nervy-notebooks.git
use your github username in place of YOUR-USERNAME.
The MIT License 2017 - Dhruv Apte. Please have a look at the LICENSE.md for more details.