09-616 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.

Prerequisites: none listed

Offered: Spring 2027, Spring 2026

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