"Datasets of CDE-GAN"

"This dataset contains the experimental data used in the paper  \"Neural Architecture Search for Generative Adversarial Networks Based on Consistency Diffusion Evolutionary Algorithm.\" It includes training and evaluation results for generative adversarial networks (GANs) optimized using the proposed consistency diffusion evolutionary algorithm. The dataset provides input samples, intermediate model outputs, and performance metrics under different experimental settings. It is intended to support reproducibility of the reported results and to facilitate further research on neural architecture search, evolutionary computation, and generative models. "

本数据集收录了论文《基于一致性扩散进化算法的生成对抗网络神经架构搜索》中使用的实验数据，包含采用本文提出的一致性扩散进化算法优化得到的生成对抗网络（Generative Adversarial Networks，GAN）的训练与评估结果。本数据集提供了不同实验设置下的输入样本、模型中间输出以及性能指标，旨在助力研究人员复现论文所报告的实验结果，并推动神经架构搜索（Neural Architecture Search）、进化计算（Evolutionary Computation）以及生成模型（Generative Models）领域的后续研究。