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GTC On-Demand

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Abstract:
Learn how to quickly build robust deep neural networks for visual-recognition tasks using information generated directly from the human brain. We will present a novel active learning framework that combines fast image presentation, real-time brainwave classification, and the use of classification score for optimizing the loss function. We'll share examples of using the proposed framework on GPUs to train neural networks and show that our solution provides faster convergence and higher performance than traditional methods.
Learn how to quickly build robust deep neural networks for visual-recognition tasks using information generated directly from the human brain. We will present a novel active learning framework that combines fast image presentation, real-time brainwave classification, and the use of classification score for optimizing the loss function. We'll share examples of using the proposed framework on GPUs to train neural networks and show that our solution provides faster convergence and higher performance than traditional methods.  Back
 
Topics:
AI and DL Research, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9554
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