DeepLearning2-Project-M2DS

Deep Learning II Project - M2DS IP Paris. RBM, DBM, DNN

Master DS | Institut Polytechnique de Paris

Realised by :

• Yedidia AGNIMO
• Choho Yann Eric CHOHO

Project README

Usage

1. Clone the repository using git clone.
2. Install the required dependencies using pip install -r requirements.txt.
3. Navigate to the notebook/ directory and run the Jupyter notebooks to replicate our experiments.

Getting Started

To run the experiments and see the results, start with the notebook/ directory:

• consignes.ipynb: Guidelines and initial setup instructions.
• experiments_script.ipynb: To perform and visualize the experiments on the RBM,DBN and RBM models.
• experiments_ALPHA_DIGITS.ipynb: For deeper dive into the Alpha Digits dataset experiments
• experiments_application.ipynb: For deeper dive into the MNIST dataset experiments

Archive Content

The project archive includes:

• src/ : Contains the source code for our implementation of the RBM, DBM and DNN.
• data/ : Sample datasets used for training and testing.
• notebooks/ : Notebooks outputing the results.

See the other Branch 'Bonus' of this git for reconstruction analysis based on VAE, GAN, CapsuleNet

Contributions to this project are welcome. Feel free to fork the repository, make improvements, and submit pull requests. For bug reports or feature requests, please open an issue.