EE569DeepLearningFall2024

Welcome to the Deep Learning Course Scripts repository! This repository contains scripts and resources related to a deep learning course. Whether you are a beginner or an experienced practitioner, these materials are designed to enhance your understanding of deep learning concepts and applications.

Table of Contents

• Course Overview
• Installation
• Usage
• Contents
• Contributing
• Contact

Course Overview

This course covers fundamental and advanced topics in deep learning. We explore various architectures and techniques, including:

• Basics of Machine Learning
• Neural Networks
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Generative Adversarial Networks (GANs)
• Transfer Learning

Installation

To use the scripts in this repository, you will need Python 3.x and the following packages:

• NumPy
• PyTorch
• Matplotlib
• Scikit-learn

Install the required packages using pip:

pip install numpy pandas torch torchvision matplotlib scikit-learn

Usage

Clone the repository and navigate to the desired script:

git clone https://github.com/Nuri-benbarka/EE569DeepLearningFall2024.git
cd EE569DeepLearningFall2024

Run the scripts using Python:

python script_name.py

Contents

01_linear_regression.py: Linear regression implementation.
02_ridge_regression.py: Ridge regression implementation.

Contributing

We welcome contributions! Please fork the repository and submit a pull request with your changes. Ensure your code follows the existing style and includes relevant documentation and tests. License

Contact

For questions or suggestions, please contact via telegram @BenbarkaUOT.

Feel free to explore, learn, and contribute! Happy coding!