Certificate in Visual AI for Driverless Cars: High-Performance
-- ViewingNowThe Certificate in Visual AI for Driverless Cars: High-Performance course is a comprehensive program designed to equip learners with essential skills in Visual AI for autonomous vehicles. This course emphasizes the importance of Visual AI in enhancing the safety, efficiency, and reliability of driverless cars.
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⢠Computer Vision Fundamentals ⢠Perception, image processing, feature extraction, object detection and recognition. ⢠Deep Learning for Visual AI ⢠Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), Generative Adversarial Networks (GANs). ⢠Autonomous Vehicle Systems ⢠Sensing, localization, mapping, path planning, control systems, sensor fusion. ⢠High-Performance Computing for Autonomous Driving ⢠Parallel computing, GPU programming, distributed computing, cloud computing. ⢠Computer Vision Algorithms for Autonomous Driving ⢠Lane detection, traffic sign recognition, object tracking, pedestrian detection. ⢠Autonomous Vehicle Safety and Security ⢠Functional safety, cybersecurity, redundancy, fault tolerance. ⢠Machine Learning for Autonomous Driving ⢠Supervised, unsupervised, reinforcement learning, transfer learning, lifelong learning. ⢠Real-world Deployment of Autonomous Vehicles ⢠Simulation, testing, validation, verification, regulatory compliance.
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