From 4be2a0000c95bfce5be5fafd19706a0569191ebe Mon Sep 17 00:00:00 2001 From: D-X-Y <280835372@qq.com> Date: Wed, 15 Jan 2020 02:00:11 +1100 Subject: [PATCH] update README --- README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index f584923..6d30977 100644 --- a/README.md +++ b/README.md @@ -1,18 +1,17 @@ # Automated Deep Learning (AutoDL) - --------- [![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE.md) Automated Deep Learning (AutoDL-Projects) is an open source, lightweight, but useful project for researchers. This project implemented several neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms. -## **Who should consider using AutoDL-Projects** +**Who should consider using AutoDL-Projects** - Beginners who want to **try different AutoDL algorithms** - Engineers who want to **try AutoDL** to investigate whether AutoDL works on your projects - Researchers who want to **easily** implement and experiement **new** AutoDL algorithms. -## **Why should we use AutoDL-Projects** +**Why should we use AutoDL-Projects** - Simple library dependencies - All algorithms are in the same codebase - Active maintenance @@ -40,7 +39,7 @@ At the moment, this project provides the following algorithms and scripts to run DARTS DARTS: Differentiable Architecture Search - CVPR-2019-GDAS.md + NAS-Bench-201.md GDAS