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Course Description

Combine practical Python coding with already existing deep learning and scalable AI-powered algorithms to engineer neural networks using models in TensorFlow, an industry-adopted open source framework for deep learning and machine learning. Working with large datasets, train neural networks to learn by using the training method backpropagation and by coding them with features in NumPy. Deploy neural networks modeled in TensorFlow on mobile phones and in web browsers. Note: This course takes place in a computer lab.
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Thank you for your interest in this course. Unfortunately, it is not scheduled for the Spring 2020 term.

Please browse our courses available this term.