38-616 Neural Networks & Deep Learning in Science

12 units, Carnegie Mellon University

Focus on practice and applications of deep learning by exploring foundational concepts, structuring popular networks and implementing models through modern technologies (python, Jupyter notebooks and PyTorch). Other topics may include image recognition, machine translation, natural language processing, parallelism, GPU distributed computing, cloud technologies, inference and parameter tting in deep networks. Course uses large datasets hosted by PSC. NOTE: This course is reserved only for students in the MS-DAS program. All other students can register for this course using the cross-listed course number 09-616.

Prerequisites: 38-615 (min C)

Offered: Spring 2027, Spring 2026

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