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Found 2 papers, 1 papers with code
Automatic Compiler Based FPGA Accelerator for CNN Training
Training of convolutional neural networks (CNNs)on embedded platforms to support on-device learning is earning vital importance in recent days.
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
Over a suite of six datasets we trained models via transfer learning with an accuracy loss of $<1\%$ resulting in up to 11. 2 TOPS/W - nearly $2 \times$ more efficient than a conventional programmable CNN accelerator of the same area.
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