UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision - CS自学指南 #477
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再做个补充，因为 Justin Johnson 本身发表的论文的质量就很高，所以推荐在学完这门课后可以读一读他的 Paper（当然在某几节 Lectures 中他对自己的论文进行了自引和简单的介绍hhh），所有 Publication 在他的个人网站就可以看到，链接：https://web.eecs.umich.edu/~justincj/ |
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请问大家，还有没有类似这门课用pytorch讲授、实践作业比较细致且丰富的深度学习入门课，但是主题不是CV、甚至没有主题的课程推荐呢？ |
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或者问问大佬们是怎么入门深度学习的呢，之前我看李沐的课，看完觉得哦！好！，但是一上手写点啥（尤其是没有框架），感觉就很抓瞎 |
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包括在自己手动实现之上，还有用nn框架的使用，感觉很懵逼 |
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我觉得学这个就行，CV只是课程背景，深度学习才是课程核心。其实教深度学习的课程基本都是先讲深度学习理论基础，再结合实际的深度学习模型进行训练。这门课前7讲就是和CV关系的深度学习教程，之后介绍CNN，RNN，transformer，generative model，GAN这类的虽然以CV为背景但是在课程中模型部分的介绍很详细。只学深度学习的话，后期一些目标检测，图像分割的专题课跳了就行。 另外这门课的作业一级棒，nn框架的使用的话其中专门有一个notebook叫 |
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谢谢回复！ |
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建了一个EECS498相关的qq群:895437450来互相交流（主要定位是CV和DL入门互助）我自己正在学EECS498中（刚开始学DL的阶段） |
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b站有机翻视频 |
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大家稍微注意一下，不同年份的assignment和schedule有所区别，比如20fall和22winter，从A4布局和内容有所改变，20fall的作业和public视频比较适配，而22winter的作业对应的一些新的视频是校内学生限定。 |
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求问大家22年冬季A4 transformer的decode实现，为什么按照论文的步骤实现总是和测试用例有很大的区别？ |
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我也在DecoderBlock那部分没有通过测试用例 |
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这个和CS231n内容是类似的吗，还是进阶的 |
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您好，CS231n我没有做过。但是eecs498会从最基本的pytorch和神经网络开始讲起
…---- 回复的原邮件 ----
| 发件人 | ***@***.***> |
| 发送日期 | 2023年12月26日 17:29 |
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| 抄送人 | Libin ***@***.***>,
Comment ***@***.***> |
| 主题 | Re: [PKUFlyingPig/cs-self-learning] UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision - CS自学指南 (Discussion #477) |
这个和CS231n内容是类似的吗，还是进阶的
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好的谢谢 |
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请问学习这门课需要先学机器学习吗 |
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先了解一点机器学习比较好 |
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其实直接上手也问题不大，这课差不多是从头开始讲起的。不过基本的微积分和线代的知识最好要掌握 |
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这个autograder非umich学生可以用吗 |
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想问一下作者 你是在本地*.ipynb测试的吗 还是在本地写了*.py文件再上传google drive然后用google colab测试。我尝试在本地用pycharm运行jupyter notebook测试但是遇到了很多包管理问题到了第二个ass就放弃了。 |
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我也是遇到了很多包管理的问题😣第一个ass从git安装py包就没成功 |
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第一个ASS要安装EECS598那个就没成功 |
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课程Slides地址： |
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顺便提醒一下同学们，Colab只要连接上了运行时就开始计时，无论是否运行代码。所以长时间不运行代码时记得把运行断开哦。（我初学的时候经常因为没断开连接而达到了免费资源的限额。） |
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请问大家有课程作业的参考答案分享吗 |
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有个波兰老哥分享了 fa2020 的 assignment solution |
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有个波兰老哥分享了 fa2020 的 assignment solution |
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感谢EECS Umich |
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我感觉这门课的assignment好难，做到第二个就有点开始不会了。 |
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可以一起做吗，我也刚学 |
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前面几个确实比较难，因为几乎就是不依赖框架手搓前向和反向传播，但是对于理解原理帮助很大；啃下来之后再去使用框架会容易很多 |
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只能说, homework超难, 量又大. 特别是写卷积那给我整不会了 |
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课程讲的很清楚，不过A2和A3各种手挫框架太痛苦了，特别矩阵运算不熟悉的话作业很多地方完全云里雾里。 |
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这里有slides: https://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/schedule.html |
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老师讲的确实清楚，最关键引导文档太到位了， 非常感谢！！！之前做lhy的深度学习做不下去去学cs50ai了，回来看这个感觉这门课太棒了 |
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UMich EECS 498-007 / 598-005: Deep Learning for Computer Vision - CS自学指南
CS自学指南
https://csdiy.wiki/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/EECS498-007/
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