diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 0c717c6..b175b98 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -2,7 +2,9 @@
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   <component name="ChangeListManager">
     <list default="true" id="be5bf74e-ad1c-4197-8a1f-ac93566d8aa7" name="Default" comment="init">
-      <change type="MODIFICATION" beforePath="$PROJECT_DIR$/自然语言处理/LDA.md" afterPath="$PROJECT_DIR$/自然语言处理/LDA.md" />
+      <change type="NEW" beforePath="" afterPath="$PROJECT_DIR$/自然语言处理/TextCNN.md" />
+      <change type="MODIFICATION" beforePath="$PROJECT_DIR$/.idea/workspace.xml" afterPath="$PROJECT_DIR$/.idea/workspace.xml" />
+      <change type="MODIFICATION" beforePath="$PROJECT_DIR$/README.md" afterPath="$PROJECT_DIR$/README.md" />
     </list>
     <ignored path="Reflection_Summary.iws" />
     <ignored path=".idea/workspace.xml" />
@@ -23,17 +25,8 @@
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   <component name="FileEditorManager">
     <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
-      <file leaf-file-name="README.md" pinned="false" current-in-tab="false">
+      <file leaf-file-name="README.md" pinned="false" current-in-tab="true">
         <entry file="file://$PROJECT_DIR$/README.md">
-          <provider selected="true" editor-type-id="split-provider[text-editor;markdown-preview-editor]">
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@@ -45,19 +38,19 @@
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+              <first_editor relative-caret-position="579">
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                 <folding />
               </first_editor>
               <second_editor />
             </state>
           </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="TextCNN.md" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/自然语言处理/TextCNN.md">
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             <state split_layout="SPLIT">
               <first_editor relative-caret-position="0">
@@ -69,6 +62,15 @@
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+          <provider selected="true" editor-type-id="split-provider[text-editor;markdown-preview-editor]">
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+              <first_editor relative-caret-position="549">
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+              <second_editor />
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+          </provider>
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       </file>
     </leaf>
@@ -130,8 +132,9 @@
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         <option value="$PROJECT_DIR$/深度学习/batch_normalization.md" />
         <option value="$PROJECT_DIR$/深度学习/dropout.md" />
-        <option value="$PROJECT_DIR$/README.md" />
         <option value="$PROJECT_DIR$/自然语言处理/LDA.md" />
+        <option value="$PROJECT_DIR$/README.md" />
+        <option value="$PROJECT_DIR$/自然语言处理/TextCNN.md" />
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@@ -208,7 +211,6 @@
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       <pane id="ProjectPane">
         <subPane>
           <PATH>
@@ -271,6 +273,7 @@
           </PATH>
         </subPane>
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+      <pane id="Scope" />
       <pane id="Scratches" />
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@@ -577,7 +580,7 @@
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+      <window_info id="Project" active="false" anchor="left" auto_hide="false" internal_type="DOCKED" type="DOCKED" visible="true" show_stripe_button="true" weight="0.22961374" sideWeight="0.5" order="0" side_tool="false" content_ui="combo" />
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@@ -641,27 +644,6 @@
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@@ -943,6 +925,16 @@
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     <entry file="file://$PROJECT_DIR$/深度学习/残差网络.md">
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@@ -951,6 +943,9 @@
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+    <entry file="file://$PROJECT_DIR$/基础概念/AutoML/AutoSklearn详解.md" />
+    <entry file="file://$PROJECT_DIR$/机器学习/逻辑回归/lr.md">
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@@ -961,9 +956,6 @@
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@@ -972,6 +964,8 @@
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@@ -982,8 +976,6 @@
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@@ -992,6 +984,8 @@
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@@ -1002,16 +996,16 @@
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@@ -1082,16 +1076,16 @@
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diff --git a/README.md b/README.md
index 8cb0907..2590c94 100644
--- a/README.md
+++ b/README.md
@@ -356,7 +356,15 @@
     - [elmo、GPT、bert三者之间有什么区别](自然语言处理/Bert.md#L164)
 - 文本相似度计算
     - [有哪些常用的方法](自然语言处理/文本相似度计算.md#L164)
-
+- TextCNN
+    - [讲一下textcnn](自然语言处理/TextCNN.md#L164)
+    - [textCNN中核的作用](自然语言处理/TextCNN.md#L164)
+    - [max-pooling选择的目的](自然语言处理/TextCNN.md#L164)
+    - [textcnn和fasttext区别](自然语言处理/TextCNN.md#L164)
+    - [如果你知道上面说的核心问题，那么有什么解决方案吗？](自然语言处理/TextCNN.md#L164)
+    - [为什么卷积核都不大？且常见都都是奇数？](自然语言处理/TextCNN.md#L164)
+    - [为什么不建议用句长作为核大小](自然语言处理/TextCNN.md#L164)
+    - [padding是不是对最后结果没有影响](自然语言处理/TextCNN.md#L164)
 # 推荐
 - DIN：[实现/使用的代码](https://github.com/sladesha/deep_learning/tree/master/DeepInterestNetwork)
     - [主要使用了什么机制](推荐/DIN.md#L164)
diff --git "a/\350\207\252\347\204\266\350\257\255\350\250\200\345\244\204\347\220\206/TextCNN.md" "b/\350\207\252\347\204\266\350\257\255\350\250\200\345\244\204\347\220\206/TextCNN.md"
new file mode 100644
index 0000000..78f48a6
--- /dev/null
+++ "b/\350\207\252\347\204\266\350\257\255\350\250\200\345\244\204\347\220\206/TextCNN.md"
@@ -0,0 +1,49 @@
+# 讲一下textcnn
+
+简要描述一些embedding，conv，pooling，fc的每个过程，这边建议着重描述三个点：
+
+- embedding是可以用pretrain_embedded的vector，常用的比如sent2vec，word2vec，GloVe
+- ⼀维卷积层核的选择和filter_size的选择
+- pooling的选择max的思考
+
+流程是：
+
+- 定义多个⼀维卷积核，并使⽤这些卷积核对输⼊分别做卷积计算。
+- 对输出的所有通道分别做时序最⼤池化，再将这些通道的池化输出值连结为向量。
+- 通过全连接层将连结后的向量变换为有关各类别的输出。这⼀步可以使⽤丢弃层应对过拟合。
+
+# textCNN中核的作用？
+
+ngram
+
+# max-pooling选择的目的？
+
+抽取关键信息
+
+# textcnn和fasttext区别？
+
+核心差别：textCNN的思路来自cv，抽取全局内的每个词附近的局部信息进行合并；fasttext的思路来自word2vec，充分利用了窗口内的信息
+核心问题：均丢失了结构信息，都是类似bow这种类型的网络
+
+# 如果你知道上面说的核心问题，那么有什么解决方案吗？
+
+- 可以尝试k-max pooling做一些优化，k-max pooling针对每个卷积核都不只保留最大的值，他保留前k个最大值，并且保留这些值出现的顺序，也即按照文本中的位置顺序来排列这k个最大值
+- TextRNN
+
+# 为什么卷积核都不大？且常见都都是奇数？
+
+- same padding时的处理时，补充的zero padding左右分配不均匀；valid无所谓
+- 奇数相对于偶数，有中心点，可以更有效的提取中心两侧的信息
+
+# 为什么不建议用句长作为核大小？
+
+核对应的是n元语法的概念，句长相当于用了一整个句子进行语义提取，会引入噪声；其实核的大小也不是越小越小越容易丢失丢失信息，比如存在<中国，人民，共和国>，核为2的话，就误解了该句的意思，容易把这句话认为是讲中国人的，其实是讲中国的。对于句子较长的文本，则应选择大一些
+
+*这个问题在我面试阿里的时候被问过一次，其实我也没有标准答案，有答案的同学可以分享一下*
+
+# padding是不是对最后结果没有影响？
+
+不一定，maxpooling没有影响，其他pooling会有影响，max只抽取了最大项padding影响到的项都被过滤了
+
+****
+textcnn是nlp中非常基础的算法，地位与lda近似，不建议有答不出来的点
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