Express Interest in Deep Learning for Scientists and Engineers

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In this course you'll get a practical introduction to Deep Learning in Python for use in Science and Engineering disciplines using keras and PyTorch. We'll start by giving you an overview of the landscape of machine learning and deep learning before walking through the individual steps of building deep learning models. We'll then progress into more-advanced topics like model architectures, optimization strategies, and evaluation metrics. Lots of live coding and examples will give you opportunity to learn by doing.

Course material taught under license from Enthought, Inc.

Full description here.

Typical times: 9:00-16:00, Mon-Thur, with an hour break for lunch each day.

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