A dataset of literature-based and custom neural networks, for the purpose of testing the performance of trained models at predicting the required resources and inference latency on FPGA.
nn benchmark数据集是由布列塔尼国立高等先进技术学院的研究人员创建,用于评估量化神经网络在FPGA上的性能。该数据集包含49个不同量化配置的神经网络实现,主要用于图像识别任务,特别是FashionMNIST数据集。创建过程中,研究人员使用了Xilinx的FINN和Brevitas框架来训练和部署量化神经网络。该数据集的应用领域主要集中在优化神经网络在低功耗硬件上的部署,旨在解决资源受限环
Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation. In
Currently, Convolutional Neural Networks (CNN) accelerators find application in various digital domains, each highlighting memory utilization as a significant concern leading to system degradation. In