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nvidia training and development


Finally we walk through sample code that demonstrates how to integrate your DNN into your software pipeline.Concurrent execution of multiple GPU inferencing tasks provides potential performance optimization when compared to its serialized counterpart. Tools Training Become a more efficient developer by using the best tools in the industry for debugging and optimizing real time graphics applications. In this webinar, you learn how we approached this vital task and how to implement functional safety in the autonomous vehicle development process.NVIDIA DRIVE AGX is an open, scalable architecture for autonomous driving capabilities, from NCAP through robotaxi. Learn how to:Upon completion, participants will be able to create and optimize perception components for autonomous vehicles using NVIDIA DRIVE™.In this 6 months nanodegree program, you will build the skills and learn the techniques used by self-driving car teams at the most advanced technology companies in the world. This session provides details on our latest SoC, GPU, and Smart Network products and how they can be used in a vehicle computer architecture. Stacked with new tools and application support, Isaac SDK 2020.1 is an end-to-end solution supporting each step of robot fleet deployment, from design collaboration and training to the ongoing maintenance of AI applications. DLI provides hands-on training in AI, accelerated computing and accelerated data science to help developers, data scientists and other professionals solve their most challenging problems. We'll discuss an example of a module API and explore methods to test and benchmark performance of planning and control functions.Perception, mapping and localization are critical for robust autonomous vehicle planning and control. In building this application, we show how to achieve kernel concurrency using multiple CUDA Streams and CUDA Graphs. Such plugins will make it possible for developers to bring new sensors into the DriveWorks SAL and to implement the transport and protocol layers necessary to communicate with the sensor.Catch up on the top-rated GTC 2020 automotive sessions:In this workshop, you will learn how to design, train, and deploy deep neural networks for autonomous vehicles using the NVIDIA DRIVE™ AGX Development platform. The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science. NVIDIA has developed a unique suite of SoC, GPU, and Smart Network computational and acceleration options for flexible autonomous vehicle development.

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nvidia training and development

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nvidia training and development