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+<!DOCTYPE html>
+<html>
+<head>
+    <title>Joint course of Megvii Inc. and Peking University on Deep Learning</title>
+    <meta http-equiv=Content-Type content="text/html; charset=utf-8">
+<style>
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+        height: 800px;
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+    #Notice {
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+</style>
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+<body style="background-color=#ffffff;">
+        <table id="MyBody">
+            <tbody>
+               <!-- <tr>
+                <td width="20"></td>
+                <td width="260">
+                    <img src="sunjian.jpg" width="350" height="200" alt="Sun Jian's Picture" />
+                </td>
+                </tr>
+			   -->
+            </tbody>
+        </table>
+        <div id="PageBody">
+            <br />
+            <hr />
+            <h2> Slides </h2>
+            <ul>
+				<li> Lecture 1, Introduction of Computer Vision and Deep Learning (<a href = "slides/Lecture1(Intro of CV and DL)_novideo.pdf" > PDF </a>) </li>
+				<li> Lecture 2, Math in Deep Learning (<a href = "slides/Lecture2(MathInDL).pdf" > PDF </a>) </li>
+				<li> Lecture 3, Neural Network Basics and Architecture Design (<a href = "slides/Lecture3(NetworkBasics).pdf" > PDF </a>), <a href="slides/Lecture3(course_project1).pdf"> assignment (Chinese) </a> </li>
+				<li> Lecture 4, Introduction to Computation Technologies in Deep Learning (<a href = "slides/Lecture4(Computation Technology).pdf" > PDF </a>), <a href = "slides/Lecture4(assignment4).pdf"> assignment (Chinese) </a> </li>
+				<li> Lecture 5, Neural Network Approximation (<a href = "slides/Lecture5(Neural Network Approximation).pdf" > PDF </a>) </li>
+				<li> Lecture 6, Modern Object Detection (<a href = "slides/Lecture6(Object Detection).pdf" > PDF </a>) </li>
+				<li> Lecture 7, Scene Text Detection and Recognition (<a href = "slides/Lecture7(Text Detection and Recognition_20171031).pdf" > PDF </a>) </li>
+				<li> Lecture 8, Image Segmentation (<a href = "slides/Lecture8(Image Segmentation).pdf" > PDF </a>) </li>
+				<li> Lecture 9, Recurrent Neural Networks (<a href = "slides/Lecture9 Recurrent Neural Networks.pdf" > PDF </a>) </li>
+				<li> Lecture 10, Introduction to Generative Models (and GANs) (<a href = "slides/Lecture 10_ Introduction to Generative Models.pdf" > PDF </a>) </li>
+            </ul>
+
+            <hr />
+            <!-- hhmts start -->Last modified: Nov. 22, 2017.
+        </div>
+
+</body>
+
+</html>
+
diff --git a/slides/Lecture 10_ Introduction to Generative Models.pdf b/slides/Lecture 10_ Introduction to Generative Models.pdf
diff --git a/slides/Lecture1(Intro of CV and DL)_novideo.pdf b/slides/Lecture1(Intro of CV and DL)_novideo.pdf
diff --git a/slides/Lecture2(MathInDL).pdf b/slides/Lecture2(MathInDL).pdf
diff --git a/slides/Lecture3(NetworkBasics).pdf b/slides/Lecture3(NetworkBasics).pdf
diff --git a/slides/Lecture3(course_project1).pdf b/slides/Lecture3(course_project1).pdf
diff --git a/slides/Lecture4(Computation Technology).pdf b/slides/Lecture4(Computation Technology).pdf
diff --git a/slides/Lecture4(assignment4).pdf b/slides/Lecture4(assignment4).pdf
diff --git a/slides/Lecture5(Neural Network Approximation).pdf b/slides/Lecture5(Neural Network Approximation).pdf
diff --git a/slides/Lecture6(Object Detection).pdf b/slides/Lecture6(Object Detection).pdf
diff --git a/slides/Lecture7(Text Detection and Recognition_20171031).pdf b/slides/Lecture7(Text Detection and Recognition_20171031).pdf
diff --git a/slides/Lecture8(Image Segmentation).pdf b/slides/Lecture8(Image Segmentation).pdf
diff --git a/slides/Lecture9 Recurrent Neural Networks.pdf b/slides/Lecture9 Recurrent Neural Networks.pdf
diff --git a/sunjian.jpg b/sunjian.jpg