From cb19f408eb39b4a5efdf31b1abc583f26167b4aa Mon Sep 17 00:00:00 2001 From: D-X-Y <280835372@qq.com> Date: Wed, 15 Jan 2020 01:25:50 +1100 Subject: [PATCH] update README --- README.md | 9 ++++----- docs/{ICCV-2019-SETN.py => ICCV-2019-SETN.md} | 0 2 files changed, 4 insertions(+), 5 deletions(-) rename docs/{ICCV-2019-SETN.py => ICCV-2019-SETN.md} (100%) diff --git a/README.md b/README.md index 3a14929..facd605 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,10 @@ -# Auto Deep Learning (AutoDL) +# Automated Deep Learning (AutoDL) --------- [![MIT licensed](https://img.shields.io/badge/license-MIT-brightgreen.svg)](LICENSE.md) -Auto Deep Learning by DXY (AutoDL-Projects) is an open source, lightweight, but useful project for researchers. -In this project, Xuanyi Dong implemented several neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms. -He hopes to build it as an easy-to-use AutoDL toolkit in future. +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** @@ -42,7 +41,7 @@ At the moment, this project provides the following algorithms and scripts to run One-Shot Neural Architecture Search via Self-Evaluated Template Network - ICCV-2019-SETN.py + ICCV-2019-SETN.md NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search diff --git a/docs/ICCV-2019-SETN.py b/docs/ICCV-2019-SETN.md similarity index 100% rename from docs/ICCV-2019-SETN.py rename to docs/ICCV-2019-SETN.md