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https://github.com/dr-saad-la/cs501-deep-learning-complete-course

Computer Science-501: Deep Learning Complete Course
https://github.com/dr-saad-la/cs501-deep-learning-complete-course

computer-science course-materials data-science deep-learning dr-saad-laouadi machine-learning neural-networks python tensorflow

Last synced: 4 days ago
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Computer Science-501: Deep Learning Complete Course

Host: GitHub
URL: https://github.com/dr-saad-la/cs501-deep-learning-complete-course
Owner: dr-saad-la
License: mit
Created: 2024-11-09T06:44:47.000Z (about 2 months ago)
Default Branch: main
Last Pushed: 2025-01-01T22:50:06.000Z (6 days ago)
Last Synced: 2025-01-01T23:28:01.408Z (6 days ago)
Topics: computer-science, course-materials, data-science, deep-learning, dr-saad-laouadi, machine-learning, neural-networks, python, tensorflow
Language: Jupyter Notebook
Homepage:
Size: 2.85 MB
Stars: 16
Watchers: 5
Forks: 3
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

# CS501 - Deep Learning Complete Course

**Computer Science 501: Deep Learning Complete Course**

Welcome to CS501, a comprehensive course designed to provide an in-depth understanding of Deep Learning. This course also includes a Python crash course to ensure all participants are well-versed in Python, the primary language used for deep learning applications.

## Instructor
Dr. Saad Laouadi
Email: [[email protected]](mailto:[email protected])

## Course Overview
CS501 covers foundational and advanced concepts of Deep Learning, including:
- Introduction to Python for Deep Learning
- Neural Networks and Backpropagation
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTM
- Deep Reinforcement Learning
- Practical applications using popular libraries such as TensorFlow and PyTorch

The Python crash course is designed to help students:
- Master basic to advanced Python syntax
- Understand Python’s data structures and libraries
- Develop a strong foundation for implementing deep learning models

## Course Format
- Theoretical lectures covering core and advanced concepts in Deep Learning
- Hands-on coding sessions to apply the knowledge in real-time
- Practical projects designed to reinforce learning and provide real-world experience

For more details or inquiries, feel free to contact Dr. Saad Laouadi via email.

## Cloning the Repository
To complete assignments and practice coding, follow these steps to clone the repository to your local machine:

1. Open your terminal (or command prompt).
2. Navigate to the directory where you want to clone the repository.
3. Use the following command to clone the repository:
```bash
git clone https://github.com/dr-saad-la/CS501-Deep-Learning-Complete-Course.git
```

4. Once cloned, navigate into the repository directory:
```bash
cd CS501-Deep-Learning-Complete-Course
```