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This lecture covers convolutional neural networks (CNNs) as a parameter-efficient alternative to fully connected networks, surveys real-world deep learning applications (autonomous driving, robotics), and closes with...
Unknown · 0:00
This lecture covers convolutional neural networks (CNNs) as a parameter-efficient alternative to fully connected networks, surveys real-world deep learning applications (autonomous driving, robotics), and closes with...
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