Deep Learning MiniCamp [Arabic]

This course is designed to equip you with the essential knowledge and hands-on practice needed to elevate your machine learning skills, especially if you already have a foundational understanding of machine learning concepts. Whether you're aiming to deepen your expertise in deep learning or looking to explore more advanced neural networks, this course provides a comprehensive journey into the world of artificial intelligence. Throughout the course, you will dive deep into Neural Networks, exploring the foundational concepts, their structure, and how they can be built from the ground up.

We will guide you through the process of constructing a neural network from scratch, helping you understand the underlying mechanics. Additionally, you'll learn how to train neural networks using Keras, a powerful and user-friendly deep learning library in Python, which simplifies the process of building, training, and testing models. Moreover, you'll gain practical insights and expert tips on deep learning training techniques, covering topics like avoiding overfitting, optimizing your training process, and choosing the right network architecture for various tasks.

These tips are drawn from real-world experience, ensuring that you can apply them effectively in your own deep learning projects. To solidify your learning, you will engage in a hands-on project, where you'll experiment with hyperparameter tuning-an essential skill for optimizing deep learning models. This project will challenge you to apply the concepts you've learned, test different configurations, and fine-tune your model for the best performance.

Computer Vision is now added with Image Classification Project. All course materials, including PDFs for theoretical concepts and interactive coding notebooks, are provided to help you follow along and reinforce your learning. The coding notebooks allow you to not only experiment with the code but also modify and extend it as you gain confidence.