Welcome, to the Code Repository for the Deep Learning & MLOps Course offered at Digital University Kerala

Welcome to the repository for the Deep Learning & MLOps course offered at Digital University Kerala. This repository contains all the materials, code samples, and resources related to the course. The goal of this course is to provide a comprehensive understanding of various deep learning algorithms such as CNN, RNN, GAN, etc., including their design, implementation, and evaluation.

Course Title: Deep Learning and MLOps

Instructor: Dr. Anoop V. S.

Semester: August 2024 - December 2024

University: Digital University Kerala, Thiruvananthapuram, India

https://sites.google.com/view/anoopvs/teaching/deep-learning

• /materials: Contains notes, and other educational materials.
• /datasets: Includes assignment descriptions, datasets, and solutions.
• /code: Features code examples, projects, and scripts related to course topics.
• /resources: Provides additional reading materials, links to relevant papers, and external resources.
• /labs: Lab exercises and practical activities for hands-on experience.

1. Clone the Repository:

   git clone https://github.com/anoop-vs/deep-learning.git
   

2. Naviage to the directory:

   cd deep-learning
   

3. Explore the files

If you have suggestions for improvements or find issues with the materials, please contribute by opening an issue or submitting a pull request. Your feedback and contributions are welcome!

To contribute:

1. Open an Issue: If you encounter problems or have suggestions, please open an issue in the Issues section of this repository.
2. Submit a Pull Request: For code changes or updates, fork the repository, make your changes, and submit a pull request. Be sure to provide a clear description of your changes.

I appreciate your help in improving this course material!

For any questions or additional support, please contact:

Instructor: Dr. Anoop V. S. (School of Digital Sciences)

Email: anoop.vs@duk.ac.in

Office Hours: Wednesdays (From 02:00 PM to 05:00 PM)

Feel free to reach out for any academic or technical questions related to the course.

This repository is licensed under the MIT License. See the LICENSE file for more details.