nasbench301_full_data
收藏官方服务：
资源简介：
Full dataset used to train the surrogate models from the paper "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search" (v1.0). This includes the final performance and training logs for architectures from the DARTS search space, including learning curves on the train, validations and test sets of the CIFAR-10 dataset.
创建时间：
2020-11-25
