ECGR 4106 - Real-Time Machine Learning

An interactive practical introduction to real-time machine learning and deep learning inference based on leveraging GPU and CPU platforms.  Introduces Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) inference algorithms for real-time computer vision and scene analysis, including object detection, pose estimation, and activity recognition.  Examines basic deep learning constructs based on current design tools (e.g., Pytorch and Real-time Tensorflow libraries).

Credit Hours: (3)
Prerequisite(s): ECGR 3101  or ECGR 3111  
Cross-listed Course(s): ECGR 5106
Most Recently Offered (Day): Course has not been offered at this time in the past 3 years
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Schedule of Classes