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Explore practical light resampling with RTXDI, covering dynamic mesh lights, emission profiles, and ReSTIR techniques to effectively sample millions of area lights for improved rendering quality.
Explore advanced ray tracing techniques for rendering games with millions of lights, focusing on importance sampling and resampling methods to achieve stunning visual effects efficiently.
Enhance deep learning application performance using NVIDIA Tools Extension Library (NVTX) for code profiling and optimization techniques.
Accelerate deep learning applications with efficient data loading pipelines using NVIDIA's DALI library. Explore augmentation, documentation, and performance optimization techniques.
Train object detection models with PyTorch on Jetson Nano, collect custom datasets, and create personalized models for real-time detection using SSD MobileNet and Open Images dataset.
Learn to train image classification models using PyTorch on Jetson Nano, including transfer learning, custom dataset creation, and real-time testing with live camera feeds.
Learn to implement image classification using Jetson Nano and deep learning. Code a Python program for real-time classification on live camera streams and experiment with the ImageNet model.
Learn to set up and run AI applications on Jetson Nano, including Docker container usage, camera feed testing, object detection, and network streaming via RTP.
Explore Jetson Xavier NX Developer Kit's edge AI capabilities, software features, and deployment strategies for advanced applications in video analytics, perception, and natural language processing.
Discover tools for training, building, and deploying intelligent vision applications at the edge using NVIDIA's suite for video analytics pipelines and IoT devices.
Explore NVIDIA Jetson's AI platform for edge computing in robotics, healthcare, and more. Learn about hardware, software stack, ecosystem, and real-world applications.
Learn to implement real-time object detection on Jetson Nano using Python, with pre-trained DNN models capable of identifying various objects from live camera feeds.
Accelerate real-time AI-based video and image analytics with DeepStream SDK. Learn about flexible deployment, architecture, and applications in retail, smart cities, manufacturing, and logistics.
Learn to deploy AI models on Jetson Nano using AWS ML and IoT services. Explore SageMaker, Greengrass, and real-time video processing for edge computing applications.
Learn to build AI projects with JetBot, an open-source DIY robotics kit for Jetson Nano. Explore real-time deep learning, object recognition, and various applications in this hands-on introduction.
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