DEEP LEARNING

The course provides a thorough exploration of deep learning, covering topics from basic principles to advanced techniques such as convolutional neural networks, recurrent neural networks, attention models, and transformers. Through theoretical explanations and practical exercises, students gain a comprehensive understanding of deep learning algorithms, enabling them to tackle real-world problems and analyze representations in deep learning models effectively.

Machine Learning and Artificial Intelligence