Usually, the top places in deep learning challenges are won by huge neural networks that require massive amounts of data and computation, making them impractical for use in real-time edge applications like security and autonomous driving. In this talk we […]
Deep learning on embedded devices is currently enjoying significant success in a number of vision applications – particularly smartphones, where increasingly prevalent AI cameras are able to enhance every captured moment. However, the considerable number of deep learning network architectures […]
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