 Model description  The authors design search spaces to perform Neural Architecture Search (NAS). They first start from a high dimensional search space and iteratively reduce the search space by empirically applying constraints based on the best-performing models sampled by the current search space.  ![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/regnet_architecture.png)  