This repository contains the projects I completed for the Advanced Deep Learning course at Tehran University.
Getting Started
- This repository assumes you have Python and a deep learning framework like TensorFlow, PyTorch, or Keras installed.
Contents
This repository includes folders for each project. Each folder will likely contain:
- Jupyter notebooks or Python scripts implementing the project.
- Data files used for training and testing (if applicable).
- README.md file (optional, for project-specific details).
Project Descriptions
1. Face Recognition
This project explored techniques for recognizing faces in images.
2. Transfer Learning
This project focused on leveraging pre-trained models for new tasks using transfer learning techniques.
3. Variational Auto Encoder (VAE)
This project introduced Variational Autoencoders (VAEs) for learning latent representations of data.
4. Adversarial Attacks
This project explored adversarial attacks, a method for intentionally fooling deep learning models.
5. Interpretability & Fairness in DistilBERT
This project investigated interpretability and fairness considerations in deep learning models.
Presentation:
A presentation about Deep Leakage in Deep Networks which refers to the unintended disclosure of private information.