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GTC On-Demand

AI Application Deployment and Inference
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The Long Road to Model Deployment or how to make a good model great!
In this talk we will cover the essential building blocks of the AI platform Nvidia engineers are using to build a world-class automotive perception stack. Through a computer vision application example, we will see how to improve a baseline model to produce better, faster predictions. The talk will focus on: - hyper-parameter optimization, - model complexity reduction (pruning), - target platform optimizations (TensorRT integration), - automation of complex workflows
In this talk we will cover the essential building blocks of the AI platform Nvidia engineers are using to build a world-class automotive perception stack. Through a computer vision application example, we will see how to improve a baseline model to produce better, faster predictions. The talk will focus on: - hyper-parameter optimization, - model complexity reduction (pruning), - target platform optimizations (TensorRT integration), - automation of complex workflows  Back
 
Keywords:
AI Application Deployment and Inference, Deep Learning and AI Frameworks, GTC Silicon Valley 2018 - ID S8633
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