From c6a01c691dfd53f57b5fa3688a15f54b3d0af881 Mon Sep 17 00:00:00 2001
From: wizardforcel <562826179@qq.com>
Date: Mon, 19 Oct 2020 21:54:21 +0800
Subject: [PATCH] 2020-10-19 21:54:21

---
 {img/tf_2.0 => docs/TensorFlow2.x/img}/bert.png | Bin
 docs/TensorFlow2.x/实战项目_5_bert.md           |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename {img/tf_2.0 => docs/TensorFlow2.x/img}/bert.png (100%)

diff --git a/img/tf_2.0/bert.png b/docs/TensorFlow2.x/img/bert.png
similarity index 100%
rename from img/tf_2.0/bert.png
rename to docs/TensorFlow2.x/img/bert.png
diff --git a/docs/TensorFlow2.x/实战项目_5_bert.md b/docs/TensorFlow2.x/实战项目_5_bert.md
index 99b53dc7..68c6105e 100644
--- a/docs/TensorFlow2.x/实战项目_5_bert.md
+++ b/docs/TensorFlow2.x/实战项目_5_bert.md
@@ -17,7 +17,7 @@ BERT的全称为Bidirectional Encoder Representation from Transformers，是一
 2. 预训练后，只需要添加一个额外的输出层进行fine-tune，就可以在各种各样的下游任务中取得state-of-the-art的表现。在这过程中并不需要对BERT进行任务特定的结构修改。
 
 
-![](/img/tf_2.0/bert.png)
+![](img/bert.png)
 
 总结一下: