DSC 301 Deep Learning and Natural Language Processing

This course covers deep neural network architectures and natural language processing and their applications in tasks such as sequence modeling, image classification, machine translation, and sentiment analysis. Students will learn to preprocess text data and explore cutting-edge techniques like transfer learning. The course emphasizes practical applications, ethical considerations such as data privacy and bias, and recent research trends.

Credits

4

Prerequisite

DSC 201 with a grade of C or higher, MAT 271 with a grade of C or higher.

Offered

fall semester