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The course is a deep dive into the details of deep learning architectures with a focus on learning end-to-end models for computer vision.
Students will implement neural networks and gain a detailed understanding of deep learning for computer vision.
Through multiple hands-on assignments and the final course project, students will acquire the toolset for setting up deep learning tasks and practical engineering tricks for training and fine-tuning deep neural networks.
Additionally, students will address the technical challenges of implementing deep networks on Edge AI cameras using the Intel Myriad X edge AI processorusing the OpenVINO toolkit.
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DEEP LEARNING FOR COMPUTER VISION
