Project where we conceptualized and designed a simple neural network accelerator, loosely based on the Eyeriss architecture, to accelerate the inference on a database of 10000 images. The trained model was made using KANN C libraries and the accelerator was synthesized as part of an SoC on an Altera FPGA.
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Project where we conceptualized and designed a simple neural network accelerator, loosely based on the Eyeriss architecture, to accelerate the inference on a database of 10000 images. The trained model was made using KANN C libraries and the accelerator was synthesized as part of an SoC on an Altera FPGA.
ramachav/Simple-Neural-Network-Accelerator
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Project where we conceptualized and designed a simple neural network accelerator, loosely based on the Eyeriss architecture, to accelerate the inference on a database of 10000 images. The trained model was made using KANN C libraries and the accelerator was synthesized as part of an SoC on an Altera FPGA.
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