CSC 627 - Deep Learning (3)

Deep learning is the study of artificial neural network methods and algorithms that mimic the way a human brain works to detect patterns in large, unstructured data sets. This course introduces students to the fundamentals of deep learning, artificial neural networks, and optimization of models with gradient descent and backpropagation. This course will examine key model components and different neural network types and apply these skills to real-world tasks like computer vision and natural language processing. The course will also explore recent applications of deep learning and design. Students will gain hands-on experience through programming assignments and the completion of a final project aligned with students’ interests.