From e449a62439061f86e36196e0848e18d27bbbfa42 Mon Sep 17 00:00:00 2001
From: YixinKristy <48054808+YixinKristy@users.noreply.github.com>
Date: Mon, 13 Jul 2020 19:37:30 +0800
Subject: [PATCH] Update README-en.md (#714)

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

diff --git a/README-en.md b/README-en.md
index b2c1e093..9a737bba 100644
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 ## Introduction
 VisualDL, a visualization analysis tool of PaddlePaddle, provides a variety of charts to show the trends of parameters, and visualizes model structures, data samples, histograms of tensors and high-dimensional data distributions. It enables users to understand the training process and the model structure more clearly and intuitively so as to optimize models efficiently.
 
-VisualDL provides various visualization functions, including tracking metrics in real-time, visualizing the model structure, displaying the data sample, presenting the changes of distributions of tensors, projecting high-dimensional data to a lower dimensional space and more. For specific guidelines of each function, please refer to  [**VisualDL User Guide**](./docs/components/README.md). Currently, VisualDL iterates rapidly and new functions will be continously added.
+VisualDL provides various visualization functions, including tracking metrics in real-time, visualizing the model structure, displaying the data sample, presenting the changes of distributions of tensors, projecting high-dimensional data to a lower dimensional space and more. For specific guidelines of each function, please refer to  [**VisualDL User Guide**](./docs/components/UserGuide-en.md). Currently, VisualDL iterates rapidly and new functions will be continously added.
 
 VisualDL natively supports the use of Python. Developers can retrieve plentiful visualization results by simply adding a few lines of Python code into the model before training. 
 
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