TORRES: A Resource-Efficient Inference Processor for Binary Convolutional Neural Networks in an FPGA

A Soft Error-Resilient Binary NeuralNetwork Inference Processor

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A 17.01 MOP/s/LUT BNN Proc. Showing 87.81% CIFAR10 Acc. with 2.6M-bit On-Chip Param. in a 28nm FPGA

A 34.02MOP/s/LUT BNN Inf. Processor Showing 87.81% CIFAR10 Accuracy with 2.6Mbit On-Chip Params.

Mask Wearing Detection Based on Binary CNN Inference Accelerator in an FPGA

Mask Wearing Detection Based on Binary CNN Inference Accelerator in an FPGA

Keyword Spotting Based on Binary CNN Inference Accelerator in an FPGA

CIFAR10 Classification Based on Binary CNN Inference Accelerator in an FPGA

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TORRES: A Resource-Efficient Inference Processor for Binary Convolutional Neural Networks in an FPGA

TORRES: A Resource-Efficient Inference Processor for Binary Convolutional Neural Networks in an FPGA

Demonstration of a Reconfigurable Inference Processor for Recurrent Neural Networks in an FPGA

Binarized Convolutional Neural Network Acceleration Processor for Reinforcement Learning

A Resource-Efficient Inference Accelerator for Binary Convolutional Neural Networks

Real-Time CIFAR-10 Classification Under a Low-Cost FPGA System.

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Binarized Neural Network on ARM Cortex A9

Digital Systems Design 2017 Fall (Korea Aerospace University) - Term Project