Lecture Note

Lecture notes encompass a broad range of topics within machine learning and signal processing, focusing on developing theoretical frameworks and practical applications for various neural network architectures and algorithms. Current research emphasizes improving the efficiency and accuracy of algorithms for tasks like video-to-slide alignment and question generation, as well as exploring the mathematical foundations of deep learning, including optimization, generalization, and the infinite-width limit of neural networks. This work is significant for advancing both the theoretical understanding and practical application of machine learning across diverse fields, from educational technology to computational physics and signal processing.