[CCoE Notice] Intro to Deep Learning for Engineers - Enroll today

[Knudsen, Rachel W]

Intro to Deep Learning for Engineers
CIVE 7397 | Fall 2020 | 3 Credits | Instructor: Vedhus Hoskere

Deep learning methods have had tremendous success in a wide variety of applications including self driving, infrastructure inspections, design optimization, robotic navigation, and even in solving differential equations! What is incredible is that the deep learning solutions in all these applications stem from a few simple ideas. This course is aimed at providing engineering students with a hands-on introduction to fundamental concepts in deep learning along with a perspective on how to apply these concepts to some domain specific examples. Topics that will be covered include

• Linear classifiers
• Multi-layer neural networks
• Convolutional neural networks
• Recurrent neural networks
• Generative networks
• Physics-informed deep learning
• Reinforcement learning

Coursework includes programming assignments in Python, quizzes and a final project.

Schedule: TBD Prerequisites: Multi-variable calculus, linear algebra, programming in python. No previous exposure to machine learning is required.

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