該系列僅在原課程基礎上部分知識點添加個人學習筆記蒲凶，或相關推導補充等茄螃。如有錯誤缝驳，還請批評指教。在學習了 Andrew Ng 課程的基礎上归苍，為了更方便的查閱復習用狱，將其整理成文字。因本人一直在學習英語拼弃，所以該系列以英文為主夏伊，同時也建議讀者以英文為主，中文輔助吻氧，以便后期進階時溺忧，為學習相關領域的學術論文做鋪墊。- ZJ
轉載請注明作者和出處：微信公眾號-「SelfImprovementLab」
知乎：https://zhuanlan.zhihu.com/c_147249273
CSDN：http://blog.csdn.net/JUNJUN_ZHAO/article/details/78802933
簡書：http://www.reibang.com/p/c906618e29e9
(字幕來源：網(wǎng)易云課堂)
1.5 關于這門課
So you're just about to reach the end of the first week,of material on the first course in this specialization. Let me give you a quick sense of,what you'll learn in the next few weeks as well. As I said in the first video ,this specialization comprises five courses. And right now, we're in the first of these five courses,which teach you the most important foundations ,really the most important building blocks of deep learning. So by the end of this first course ,you know how to build and get to work a deep neural network.
學習進度來到了這個“微專業(yè)”第一門課盯孙，第一周的最后鲁森，快速地介紹一下，下一周將要學習什么內容振惰。在第一個視頻里我已經(jīng)說過歌溉，本“微專業(yè)”一共有五門課。目前是第一門課，在這門課中痛垛，將教會你最重要的基礎知識草慧，深度學習最重要的基礎。第一門課的結尾匙头，你將掌握如何建立并運用一個深度神經(jīng)網(wǎng)絡漫谷。
So here the details of what is in this first course.This course is four weeks of material.And you're just coming up to the end of the first week,when you saw an introduction to deep learning.At the end of each week,there are also be 10 multiple-choice questions that you can use to double check your understanding of the material.So when you're done watching this video,I hope you're going to take a look at those questions.
下面是第一門課的一些細節(jié)。這門課有四個星期的學習材料蹂析。目前你就要完成第一周的學習了舔示，學完了深度學習的入門介紹。在每一周的結尾识窿，都會有十道多選題斩郎，可以用來檢驗自己對材料的理解。當你看完這個視頻的時候喻频，希望你能看看這些問題缩宜。
In the second week, you then learn about the Basics of Neural Network Programming.You'll learn the structure of what we call,the forward propagation and the back propagation,steps of the algorithm,and how to implement neural networks efficiently.Starting from the second week,you also get to do a programming exercise,that lets you practice the material you've just learned,implement the algorithms yourself and see it work for yourself.I find it really satisfying when I learn about algorithm,and they get it coded up and I see it worked for myself.So I hope you enjoy that too.
在第二周，你會學習到神經(jīng)網(wǎng)絡的編程基礎甥温。了解神經(jīng)網(wǎng)絡中锻煌，“正向傳播”和“反向傳播”的結構，還有算法的過程姻蚓，以及如何高效實現(xiàn)神經(jīng)網(wǎng)絡宋梧。從第二周開始，你也會開始做一些編程練習狰挡，練習學到的知識捂龄，自己實現(xiàn)算法 親自調試到完美運行，當我學習算法的時候 那讓我很過癮加叁，通過代碼編程 親自看到它完美運行倦沧，我希望你們也喜歡。
Having learned the framework for neural network programming in the third week,you code up a single hidden layer neural network. All right.So you learn about all the key concepts needed to implement,and get to work in neural network.And then finally in week four,you build a deep neural network and neural network with many layers.and see it worked for yourself.So, congratulations on finishing the videos after this one.
在學習了神經(jīng)網(wǎng)絡編程的框架之后 在第三周它匕，你會編寫單隱層神經(jīng)網(wǎng)絡展融。你需要學習所有必需的關鍵概念，才能實現(xiàn)神經(jīng)網(wǎng)絡豫柬。最后在第四周告希，你將建立了一個多層的深層神經(jīng)網(wǎng)絡。讓它為你服務烧给，恭喜你完成了這段視頻燕偶。
I hope that you now have a good high-level sense,of what's happening in deep learning.And perhaps some of you are also assigned to,has some ideas of where you might want to apply deep learning yourself.So, I hope that after this video,you go on to take a look at the 10 multiple choice questions,that follow this video on the course website,and just use the 10 multiple choice questions,to check your understanding.And don't review, you don't get all the answers right the first time,you can try again and again until you get them all right.
我希望你現(xiàn)在對深度學習，有一個高層次的理解础嫡。也許有些人會想杭跪，自己想到了，哪里可以應用深度學習驰吓。我希望看完這段視頻后涧尿，你會去看那10個多項選擇題，它們就在課程網(wǎng)站上檬贰，有10個多項選擇題姑廉，來檢查你的理解，不用復習翁涤， 第一次做不知道所有答案桥言，你可以多做幾次直到你把都做對了為止。
I found them useful to make sure,that I'm understanding all the concepts,I hope you're that way too.So with that, congrats again for getting up to here,and I look forward to seeing you in the week two videos.
我覺得這些問題很有用葵礼，能保證我理解了所有概念号阿，我希望你也可以做到，說完了鸳粉，再次祝賀你看到了這里扔涧，期待在第二周的視頻中也看到你。
1.6 課程資源
I hope you enjoyed this course,and to help you complete it.I want to make sure that there are a few course resources that you know about,first if you have any questions,or you want to discuss anything with the classmates,or the teaching staff including me,or if you want to file a bug report,the best place to do that is the discussion forum,the teaching staff and I will be monitoring that regularly,and this is also a good place for you,to get answers to your questions from your classmates,
希望你能夠喜歡這門課程届谈，為了幫助你完成課程枯夜，我想要確保，你知道有下面這些課程材料艰山，首先 如果你有任何疑問湖雹，想和這個課程的其它同學討論，想和包括我在內的教學人員討論曙搬，或者想要歸檔一個錯誤報告摔吏，論壇是去做這些事情最好的地方我和其他教學人員會定期關注論壇，這也是一個纵装，從與你一同學習本課程的同學那 獲取答案的好地方征讲，
Coursera-Deep Learning:https://www.coursera.org/specializations/deep-learning
or if you wish try to answer your classmates' questions,to get to the discussion forum from this course home page,if you look at this menu bar on the left,you also might look a bit different than mine,but they'll do this discussion forum tab,which gives you click on,gives you to the discussion forum,the best way to ask questions is on the discussion forum,but it for some reason you need to contact us directly,or let us know about some problem,feel free also to email us at this email address.
如果你想要回答同學們的問題，可以從課程首頁 來到課程的論壇搂擦，如果你看到左側的這個菜單欄稳诚，你的可能會看起來和我的有些不一樣，但都會有這個論壇模塊瀑踢，當你點擊它的時候扳还，就會打開課程論壇，在論壇上提問是問問題的最好方法橱夭，出于某些原因你可能想直接聯(lián)系我們氨距，或是想讓我們知道一些問題，盡管把郵件發(fā)送到這個郵箱地址棘劣。
I promise we will read every email,and we'll try to address commonly occurring issues,although depending on the email volume.I can't guarantee that we'll be able to reply promptly to every email,but we will read every email that you send,next I know that there are other companies,that wish to train maybe large numbers of employees with deep learning,if you're responsible for employee training in your company,and would like to train a hundred or more employees with deep learning expertise,please feel free to get in touch at this email.
我保證我們會閱讀每一個郵件俏让，我們會盡力去解決經(jīng)常出現(xiàn)的問題，由于電子郵件的數(shù)量很多，我不能保證首昔，我們能夠迅速回復每一封郵件寡喝，但是我們會閱讀你發(fā)送的每一封郵件。另外 有些其它公司勒奇，想要給大批的職員培訓深度學習的話预鬓，如果你在公司是負責培訓工作，想深度學習專家來培訓上百或者更多的雇員赊颠，盡管通過這個電子郵箱聯(lián)系我們格二。
and we'll see if we can help you,we're just in the early phases of developing the university academic program,but if you're a university instructor,or a university administrator,interested in offering a deep learning course at your university,please feel free to contact us at this email address,though I hope that gives you more resources to complete the course,maybe I'll see some of you in the discussion forums,and best of luck.
我們看看能否幫到你，我們在開發(fā)大學課程竣蹦，但處于早期的階段顶猜，如果你是大學領導，或者管理人員痘括，想在學校提供一門深度學習課程长窄，請盡管通過這個郵箱地址聯(lián)系我們，我會提供更多的資源 來完成這門課程远寸，也許我會在論壇見到你噢抄淑，祝你好運。
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