Yongshin Kang

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Deep neural networks have been demonstrated impressive results in various cognitive tasks such as object detection and image classification. In order to execute large networks, Von Neumann computers store the large number of weight parameters in external memories, and processing elements are timed-shared, which leads to power-hungry I/O operations and(More)
This demo shows a neuromorphic computing system called INsight that classifies images fed by an OV7670 camera in real-time into 10 categories such as dogs, cats, trucks, etc. A 6layer deep convolutional neural network with 0.7M parameters is trained using the training set of CIFAR-10, and it is compressed and converted into a time delay neural network(More)
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