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GTC ON-DEMAND

Deep Learning & AI Frameworks
Presentation
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Metric Analysis and Performance Optimization in TensorFlow
Abstract:
We'll describe methods to improve the performance of FaceNet in parallel computing environments by quantitatively identifying major bottlenecks in performance and investigating the influence of measurements on accuracy and efficiency in TensorFlow. We'll discuss our performance monitoring tool for bottleneck analysis,and describe how data preprocessing, learning-rate scaling, and communication algorithms are incorporated into our neural network.
 
Topics:
Deep Learning & AI Frameworks
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9335
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