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    <title>Joint course of Megvii Inc. and Peking University on Deep Learning</title>
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	    <h2> Spring 2019 </h2>
		<a href="https://github.com/zsc/megvii-pku-dl-course/tree/master/slides19"> slides </a>
            <hr />
            <h2> Spring 2018 </h2>
            <ul>
				<li> Lecture 1, Neural Network Basics and Architecture Design (<a href = "slides18/network basics.pdf" > PDF </a>) </li>
				<li> Lecture 2, Deep Learning Framework (<a href = "slides18/deeplearning_framework_peking.pdf" > PDF (Chinese) </a>, <a href= "https://github.com/zsc/megvii-pku-dl-course/blob/master/slides18/neural_networks_tutorial.ipynb"> IPython Notebook </a>) </li>
				<li> Lecture 3, An Introduction to Modern Object Detection (<a href = "slides18/2018_05_16_ObjectDetection.pdf" > PDF </a>) </li>
				<li> Lecture 4, Introduction to Computation Technologies in Deep Learning (Computer Architecture) (<a href = "slides18/dl-comp-tech.pdf" > PDF </a>) </li>
            </ul>
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            <h2> Fall 2017 </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 (Graph Engine) (<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>
				<li> Lecture 11, Human Understanding: ReID and Pose and Attributes and Activity (<a href = "slides/Lecture 11, Human Understanding_ ReID and Pose and Attributes and Activity .pdf" > PDF </a>) </li>
				<li> Lecture 12, Shape from X (<a href = "slides/Lecture 12_ Shape from X.pdf" > PDF </a>) </li>
				<li> Lecture 13, Visual Object Tracking (<a href = "slides/Lecture 13_ Visual Object Tracking.pdf" > PDF </a>) </li>
				<li> Lecture 14, Neural Network in Computer Graphics (<a href = "slides/Lecture 14, Neural Network in Computer Graphics.pdf" > PDF </a>) </li>
            </ul>

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            <!-- hhmts start -->Last modified: Jun. 9, 2018.
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