Are you interested in learning machine learning and deep learning? Whether you’re a beginner or looking to expand your coding skills in AI, I’m writing basic codes of machine learning and deep learning models in this repository.
What is this repository about?
The DL-ML-Tutorial is a collection of sample codes and tutorials in Python and MATLAB aimed at teaching the fundamentals of deep learning and machine learning. It provides practical examples that help you understand the core concepts through hands-on coding.
This includes:
- Python and MATLAB samples: Explore different approaches to implementing neural networks and machine learning algorithms.
- Real-world examples: Includes code snippets for training basic convolutional neural networks, among others.
- Accessible for beginners: Clear, step-by-step examples to help you learn efficiently.
How to use this resource?
You can directly access the code snippets, modify them, and run your experiments to grasp the concepts better. The repository is also linked with Google Colab for easy to use, cloud-based coding.
