Deep learning has revolutionized industries ranging from healthcare to finance, driving advancements in natural language processing, computer vision, and autonomous systems. Throughout this course, we will delve into the theoretical underpinnings and practical applications of deep neural networks. From understanding fundamental concepts to implementing advanced architectures like convolutional and recurrent networks and also transformers, this course aims to equip you with both theoretical knowledge and hands-on experience essential for navigating the complexities of deep learning. You will have opportunities to implement, train, and debug your own neural networks, and apply these skills to a real problem through a term project.