From f5d8ec98070a47c954a1f7d083c58c4727e0f6ab Mon Sep 17 00:00:00 2001
From: HantingChen <40243544+HantingChen@users.noreply.github.com>
Date: Fri, 26 May 2023 09:51:52 +0800
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e68be99..25c25ff 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ VanillaNet is an innovative neural network architecture that focuses on **simpli
 
 <img src="pic/depth.PNG" width="360px"/> <img src="pic/speed.PNG" width="300px"/>
 
-VanillaNet, in its robust simplicity, offers comparable precision to prevalent computer vision foundation models, yet boasts a **reduced depth and enhanced processing speed**:
+VanillaNet achieves comparable performance to prevalent computer vision foundation models, yet boasts a **reduced depth and enhanced inference speed**:
 - **9-layers'** VanillaNet achieves about **80%** Top-1 accuracy with **3.59ms**, over **100%** speed increase compared to ResNet-50 (**7.64ms**).
 - **13 layers'** VanillaNet achieves about **83%** Top-1 accuracy with **9.72ms**, over **100%** speed increase compared to Swin-T (**20.25ms**).