M2

Welcome to our Advanced Deep Learning course! This course is designed to provide a deep understanding of the most cutting-edge concepts and techniques in the field of deep learning. Through a comprehensive exploration of various advanced topics, we aim to equip students with the knowledge and skills required to tackle complex real-world problems using deep learning methodologies. The objectives of this course are as follows:

• Convolutional Neural Networks (CNNs).

• Recurrent Neural Networks (RNNs).

• Reinforcement Learning.

• Self-Supervised Learning.

This course is designed to be highly interactive, with a blend of theoretical knowledge and hands-on projects to ensure a well-rounded learning experience. By the end of the course, students will be proficient in applying advanced deep learning techniques to real-world scenarios and will be well-prepared for further research or professional endeavors in the field of deep learning.