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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. -
The ImageNet dataset is used to evaluate the performance of FracBNN.
The ImageNet dataset is used to evaluate the performance of FracBNN. -
The first convolutional layer is not binarized.
The first convolutional layer is not binarized. -
Binary neural networks (BNNs) have 1-bit weights and activations.
Binary neural networks (BNNs) have 1-bit weights and activations. -
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional A...
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations -
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).
