Official Description

6.0 Continuing Education Units (CEUs)

Neural network models, the most common architectures and their use in different domains; practical application of neural network models and their implementation using Python and Keras; end to end application of deep learning, including learning workflow; parallel hyperparameter search; hyperparameter configuration; mixed architectures combining several models; semi supervised learning; reinforcement learning agents.


Supplementary Information

35 contact hours plus approx. 25 hours of assignments.

Prerequisite(s) and Corequisite(s)

Applies Towards the Following Programs


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