Deep Learning for Artificial Intelligence

The course Deep Learning for Artificial Intelligence aims at providing students with a good understanding of deep neural networks and algorithms, along with deriving practical AI solutions in various domains such as economics, fintech, computer vision, natural language processing. The course demonstrates mathematical concepts and hands-on skills required for the algorithms that are typically used in practice. The students will be able to apply concepts and skills to analyze data across different domains, then build learning systems and comprehend their performance. The course covers diverse topics including introductive deep learning, popular deep neural networks, data augmentation, transfer learning and recurrent neural networks. On the other hand, recent applications of deep learning will also be addressed, such as stock/cryptocurrency price prediction with time series data, natural language processing, robotics, autonomous driving systems, etc.