From 51eda1ab3ccea2a8c1b8afe7fda064ac4aea6880 Mon Sep 17 00:00:00 2001
From: Travis CI <paddle-dev@baidu.com>
Date: Fri, 3 Nov 2017 05:40:13 +0000
Subject: [PATCH] Deploy to GitHub Pages:
 aa5664c34cb9b56d4647a8040f5c3bbb4e9f693e

---
 develop/doc_cn/_sources/faq/parameter/index_cn.rst.txt | 2 +-
 develop/doc_cn/faq/parameter/index_cn.html             | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/develop/doc_cn/_sources/faq/parameter/index_cn.rst.txt b/develop/doc_cn/_sources/faq/parameter/index_cn.rst.txt
index c721b62318..6fa0c64413 100644
--- a/develop/doc_cn/_sources/faq/parameter/index_cn.rst.txt
+++ b/develop/doc_cn/_sources/faq/parameter/index_cn.rst.txt
@@ -75,7 +75,7 @@ PaddlePaddle目前支持8种learning_rate_schedule，这8种learning_rate_schedu
 
       optimizer = paddle.optimizer.Adam(
           learning_rate=1e-3,
-          learning_rate_schedule="manual",
+          learning_rate_schedule="pass_manual",
           learning_rate_args="1:1.0,2:0.9,3:0.8",)
 
   在该示例中，当已训练pass数小于等于1时，学习率为 :code:`1e-3 * 1.0`；当已训练pass数大于1小于等于2时，学习率为 :code:`1e-3 * 0.9`；当已训练pass数大于2时，学习率为 :code:`1e-3 * 0.8`。
diff --git a/develop/doc_cn/faq/parameter/index_cn.html b/develop/doc_cn/faq/parameter/index_cn.html
index 241d6fded3..c85894f480 100644
--- a/develop/doc_cn/faq/parameter/index_cn.html
+++ b/develop/doc_cn/faq/parameter/index_cn.html
@@ -263,7 +263,7 @@
 <p>这是一种按已训练pass数分段取值的学习率退火方法。使用该learning_rate_schedule时，用户通过参数 <code class="code docutils literal"><span class="pre">learning_rate_args</span></code> 设置学习率衰减因子分段函数，当前的学习率为所设置 <code class="code docutils literal"><span class="pre">learning_rate</span></code> 与当前的衰减因子的乘积。以使用Adam算法为例，代码如下：</p>
 <div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">paddle</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span>
     <span class="n">learning_rate</span><span class="o">=</span><span class="mf">1e-3</span><span class="p">,</span>
-    <span class="n">learning_rate_schedule</span><span class="o">=</span><span class="s2">&quot;manual&quot;</span><span class="p">,</span>
+    <span class="n">learning_rate_schedule</span><span class="o">=</span><span class="s2">&quot;pass_manual&quot;</span><span class="p">,</span>
     <span class="n">learning_rate_args</span><span class="o">=</span><span class="s2">&quot;1:1.0,2:0.9,3:0.8&quot;</span><span class="p">,)</span>
 </pre></div>
 </div>
-- 
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