Synthetic Data of Neural Network Architectures

该数据集包含了一系列多样化的神经网络架构，旨在合成FPGA之前评估资源利用率和推理延迟的预测。此外，该数据集能够快速评估神经网络在FPGA上的可行性和效率。该数据集的测试集包含了超过500个模型，其任务在于预测神经网络在FPGA上的资源利用率和推理延迟。

This dataset comprises a diverse set of neural network architectures, intended for predicting resource utilization and inference latency prior to FPGA synthesis. Additionally, this dataset allows for rapid evaluation of the feasibility and efficiency of neural networks on FPGAs. The test subset of this dataset contains over 500 models, with the core task being to predict the resource utilization and inference latency of neural networks on FPGAs.