CS231n Winter 2016: Lecture1: Introduction and Historical Context

Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition. Lecture 1.
Get in touch on Twitter @cs231n, or on Reddit /r/cs231n.

[@AvielLivay]

1:10:10 “can we give a computer one picture and outcomes a description like this… you give the computer one picture - it gives you one sentence… we are not here yet”. This is 2016, and Dr. Fei-Fei Li cannot envision even in her wildest dreams that a few years later, we shall not only overcome this problem but solve the opposite - give a computer a sentence, and it shall create a picture. She was too ‘shy’ to even ask a computer to do such a thing. What is this something that we don’t even dare to ask a computer to do today, but in 2028 computers will do? 😊

[@pushpakagrawal7292]

So true!

[@rahularyansharma]

She said that she is giving @Andrej a challenge and ChatGPT4 did the same thing in the 14 March 2023 release .

[@ConeTheOne]

Thank you so much for uploading this. I would really love if the cs231a could also be viewed online

[@mianxiong5933]

It's really eazy to understand Feifei Li's accent, and good lectures, I'll try my best to grasp the knowledge. Dream being a Stanford CS student one day...

[@mheitm]

In case anybody is interested, the photo with the river and houses on slide 42 (at abuot 1:15:08) is from the city of Tübingen in Germany.

[@theempire00]

What a great professor! Wish I could attend the lectures in person.

[@chillydoog]

You should be grateful that you can attend the lectures at all. Virtual or otherwise.

[@leixun]

*My takeaways:*
1. Agenda of this lecture 11:41
2. A brief history of computer vision 13:45
3. Overview of this course series 57:50

[@mahanfathi9817]

*Full solutions for Spring 2017 Assignments*
Check 'em out!
github.com/MahanFathi/CS231

[@shawnz9833]

Chinese Subtitles !!!! F**king Awesome!!!

[@pengpai812]

I have attended the CS21n last year (2015 session). In the 2016 session, some cutting edge techs and applications are added such as image caption. They also provide videos! Thus, I am planning to go though it again~!

[@xiaolinggu4994]

Small world!

[@pengpai812]

A ha, nice to meet you here, Doc Gu. Happy learning! I am busy with my paper recently and I haven't watched these videos yet.

[@huajingzhao8549]

OMG Chinese subtitles!! Thanks for great lecture and work!

[@haifengchen2859]

Amazing,

[@rahmoucha3bouda]

Thanks to this lecture i finally understand the basis of Deep Learning !
Great Professor

[@chillydoog]

Cool

[@ekbastu]

How much time you had to put in?

[@Fatt_Dre]

Thanks for posting, Good luck teaching this quarter!

[@vq8gef32]

Started my journey and watching this course now. Couldn't attend Stanford University but still good to be in the class in 2024 : )

[@gabrieldornelles9310]

An absolutely beautiful class. Everything is getting closer to abstraction in education, such as math that you learn formulas but don't know where did they come from, or why should you use it. That's a necessary class to computer vision in terms of modern education, people shouldn't learn algorithms, architectures ml frameworks before understanding where did this come from, through our evolution and years of analysis and construction of what we call today modern computer vision

[@davideliasfloresescalante8840]

540 millions of evolution? where did You get that number?

[@hanbinwang2458]

What a wonderful course! Only 665 views by now? I will share it with my friends.

[@olehmisko389]

You have a lot of friends, since the number of views is more than 220k :)

[@research_cadcam]

It was an interesting story about CNN. I'm looking forward to seeing you in a next lecture!

[@suvarnakadam6557]

Just want to say a big Thank you, this course had helped me prepare the foundation for my PhD back in 2017. Literally watched it multiple times to internalise the concepts

[@Clammer999]

Always loved to hear Dr Fei Fei Li speaks even though this is nearly 10 years ago and she is still pretty hilarious.

[@micsodaki]

1.25X speed is highly recommended :)

[@nivedithavittal1695]

Thank you andrej.Do you have video lectures cs231a visual network lectures.

[@张建-d4r]

I can learn more with the video,thanks

[@ONeilPoppy-l1k]

Hall Gary Allen Paul Young Brenda

[@ProbodyworkAlex]

a convolution is like a retort and therefore inseparable from an edge work

[@luciferl725]

I want to see the latest lectures in 2018, but i am not a Stanford student,very upset.

[@judithsamson9534]

Thank you so much for taking the videos and making this public!!

[@lwRaFaElwl]

Great intro! , the whole picture of Computer Vision summarized. But I have some thought about making a computer write an essay, the inner imprecision of language pointed out by Wittgenstein for instance. Any discussion forum you may recommend?

[@张珩-h1n]

Neural Networks not your Networks ... the subtitles..........

[@shgwu2640]

感谢提供那么好的学习资源！！！

[@derekchen6975]

Great first lecture, so excited to get started!

[@venugopalbv2069]

where to find CS131 and CS231a?

[@dhananjaymehta7585]

Thank you so much for sharing this, an invaluable resource.

[@doomsdaymachiene91]

Where the cats okay??

[@jion1ar]

Thanks for posting such great lectures. Good job!

[@kennylow4334]

Awesome mates! Thanks for sharing this class with the rest of us :D Much appreciation and thanks!

[@ralphblanes8370]

Thanks for posting! This course is awesome

[@ayushchaudhary663]

this is the 99th comment

[@ayushchaudhary663]

and this is the 100th

[@orchestorful]

Make my life easier since I don't need read fancy papers.

[@Palt89]

Great lecture! Thanks for sharing. Watching from Australia :)

[@sourovroy7951]

Fei Fei Li has an attractive accent.

[@homedone2407]

It's a good opportunity to study CNN

[@brucetang9059]

So nice ,thanks for share this video :)

[@penseBienE2]

This is great introduction subject computer science. Launches us to see some more amazing topic by Andrej

[@yuxiangwu4573]

!!!! Chinese Subtitles!!! Happyyyyyyyyy!!!

[@차정민-b1z]

Perfect course but I cannot understand all of the contents cause I cannot listen English well.

[@Leon-pn6rb]

Where are you from?>

[@DboyLiao]

Are the slides available on the cs231n course website or somewhere else?
I'd like to download it if it's available.
Thanks for uploading anyway.

[@chengrongwang3924]

Yes, they are available on the course website.cs231n.stanford.edu/2016/syllabus

[@DboyLiao]

Ah! Thanks.

[@aigen-journey]

I wonder if this lecture already needs an update?

[@happier13]

done

[@clairelolification]

She is amazing ! please don't delete CS231n courses

[@theailateshow368]

哈喽美女🌹

[@gibinglee1768]

Thank you so much! The course I think will actually improve my understanding on CNN for Vision

[@zeitlichkeit540]

So great! Chinese subtitles are so nice and precise.

[@bingeltube]

Recommendable! E.g. A very high level introduction to the history of computer vision

[@serhangul]

Thanks for posting and also not only in a legacy resolution.

[@043mehdi]

What are pre requisite for this course

[@yyl5170]

醍醐灌顶的入门视频，感谢

[@devraj1989]

A very good introduction to CNN

[@王双洋]

really nice course for beginners

[@bopon4090]

Really enjoyed the introduction class.

[@СвятославМорошкин]

Thank you very much for sharing this course, Andrej! Looks very cool and promising!

[@zihaozheng9986]

Interesting and though-provoking introduction of CV!

[@abdulmuqeet4727]

Thanks for giving a chance to learn this wonderful course.

[@yinengxiong7532]

Great introduction to deep learning

[@kiawe]

thanks for recording this great course!! it's fun and interesting topic!!

[@sergeybaramzin6030]

that was great, big thnx/ looking forward to the next steps

[@jumpingwang]

来晚了，非常好的课程

[@邓思超]

感谢,没想到还能看到这么好的视频!

[@marcomarson1635]

Great course, Thanks for sharing!

[@yhc7281]

啊啊啊，感谢。

[@zzqsmall]

Awesome! Hope to see more video lectures.

[@sumanbharti6423]

Hats off Professor !

[@pranavtrehun6758]

What an amazing lecture. Thanks a lot for posting this :)

[@tianlongwang13]

Fei-Fei! Great course!!

[@AGI.Trainer]

start to learn 加油！

[@shaunkung9345]

居然有中文字幕，还不是自动识别的，真的太感动了...

[@shaunkung9345]

plus 太感谢了 ！

[@onixzsai432]

太感谢了，有中文字幕

[@charlesxu4253]

Great lecture!

[@CHL41993]

*7 late days?!* GoDdEsS.

[@dannyiskandar]

Thank you! this is amazing.

[@임채명학부휴학경영학]

41:47

[@alexanderskusnov5119]

Very small images!

[@BruceLee-zw3wr]

Thanks

[@yanfang2278]

Fantastic!

[@yang1024]

Thank you so much!

[@yashvardhansharma3899]

Great professor

[@telert903]

28:05

[@jinweiweiliu8519]

废话一大堆

[@luxembu]

too many "ah ah ah", "you know" "all right?" "en en en en...". Please change your speaking style. The content is ok.

[@kingdodongo4126]

are you for real, bethankful of this amazing content for free. Entitled fucker.

[@mysyntax1311]

Stfu you are just an idiot