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6 datasets found

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• The CIFAR-10 dataset is used to evaluate the performance of FracBNN.

  The CIFAR-10 dataset is used to evaluate the performance of FracBNN.

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• The ImageNet dataset is used to evaluate the performance of FracBNN.

  The ImageNet dataset is used to evaluate the performance of FracBNN.

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• The first convolutional layer is not binarized.

  The first convolutional layer is not binarized.

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• Binary neural networks (BNNs) have 1-bit weights and activations.

  Binary neural networks (BNNs) have 1-bit weights and activations.

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• FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional A...

  FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

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• FPGA deep learning acceleration based on convolutional neural network

  This paper proposes a convolutional neural network hardware accelerator based on field programmable logic gate array (FPGA).

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