How convolutional neural networks work, in depth

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at e2eml.school/193
slides: docs.google.com/presentation/...
machine learning blog: brohrer.github.io/blog.html

[@Karim-nq1be]

That's a masterpiece, not only have I learned how in detail convolutional neural networks work, but also I've learned how I should explain hard subjects to others. Thank you.

[@khuebner]

Great presentation, Brandon. I prefer your simple graphics and pace over the highly distracting, animated videos from other educators.

[@BrandonRohrer]

Thanks! I appreciate that

[@pw7225]

You're an amazing teacher. Just the right speed. The right structure. Well done.

[@danielcohen5311]

This is by far the best video I've seen on CNN. Thanks a lot!

[@Omo_Mohd]

Although it's 5 years ago, this is the simplest and the AWESOMEST video in youtube for someone getting started with Computer Vision. This lecture, along with 3-Blue 1-Brown neural network playlist, and you are good to explore Thank you!!

[@BrandonRohrer]

That is a huge compliment. Thanks!

[@bm5211]

I tend to get intimidated by videos longer than an hour, but I'm so incredibly glad I watched this one! Super clear explanation, I feel like I actually understand what happens now. No one else has been able to explain it so clearly. :) Thank you!!

[@BrandonRohrer]

That's so good to hear. I'm really happy that it clicked.

[@opto3539]

​@@BrandonRohrer a little suggestion it would have been a lot better if it was a playlist consisting of 10 mins videos each, it would really be helpful for someone with low attention span like me

[@BrandonRohrer]

@@opto3539 Thanks Opto, I like this suggestion. I tried this on some later content and I like the result.

[@StayTech-Rich]

I had a diffi ultrasound time understanding the convolution layer, this course is the best among all courses I saw on KZbin, keep the good work, you saved me , I was struggling understanding and now I'm completely clear. Thanks alot

[@gk8644]

For those who come from the shorter video by Brandon, the new stuff starts at 15:13.

[@AbsolutelyNoOne251]

One of the best videos I’ve ever seen on the topic: super clear explanation + truly in depth, all without being boring. The only thing I didn’t understand is how to determine the values in the matrices for the convolution.

[@BrandonRohrer]

Thank you Daniele! The short answer: they start random and get adjusted during training by backpropagation ( e2eml.school/backpropagation ) The long answer: A two-course sequence walks through how to implement this in Python for 1-D ( e2eml.school/321 ) and 2-D ( e2eml.school/322 ) convolutional neural networks.

[@GamingShiiep]

I can't stress enough how great your videos and explanations are. I get overwhelmed by lots of text and missing visual examples, so it's great I found your videos. Watched 2 already and will definitely watch the rest too!

[@lucianoinso]

Don't let the duration of this video intimidate you from enjoying this masterpiece of a presentation, just press play and begin, you'll freaking love every second of it. Thank you so much for sharing this and so much other information for free!

[@XinhLe]

Thanks so much for spending time preparing this videos. Watching is 1h, preparing for this video is probably * by 100 :) 3:20 - Filtering 8:10 - Pooling 10:30 - Normalisation (ReLu) 12:16 deep stacking 13:11 fully connected layers 17:00 receptive fields 18:00 create a neuron, create weight and squash the results (sigmoid function). 26:50 optimisation

[@im-Anarchy]

and then he died

[@_tnk_]

Detailed and concise at the same time. Perfect video.

[@prebpreben6328]

Very intuitive way of explaining Convolution Neural Networks. Great job!

Wow! All your perfect presentations combined in a better presentation! I'm bookmarking this one and also sharing it with my colleagues.

[@fitnessismypassion]

I am a visual learner with no background of computer science and this video is a gem! Thank you very much. Subscribed:)

[@BrandonRohrer]

Thank you! I'm pleased to hear it.

[@linuxbrad]

Very clearly spoken and illustrated. It's great to have well articulate and easy to follow tutorials like this.

[@yemanerussom9462]

You are simply the best at explaining this complex topic. Thank you.

[@BrandonRohrer]

Thanks!

[@ShopperPlug]

This is by far the best explanation in convolution neural networks, gets into theory and details of things. The presentation of everything is superb. I now know precisely what CNN are exactly all about. I would never spend a full hour watching an explanation on youtube unless it is a full course. This explanation hour long of CNN is well worth it. Thanks.

[@bahadryldrm6833]

There is lecturer that knows about what he's teaching the students. Well explained thank you.

[@BrandonRohrer]

I appreciate that.

[@ishwarmorey712]

Brandon, you explain the most difficult concepts in simple understandable language. Nice visualizations create a mind map which we cannot forget. Thank you for all your efforts on these videos!

[@BrandonRohrer]

Thank you so much Ishwar

[@Matlockization]

It was nice of you to simplify the understanding as most KZbin video's just put neural networks in an entertaining way with a vague explanation.

[@pafingl]

Marvelous explanation, made simple and concise, yet not oversimplified to a level that would render it pointless. I could not have imagined a better way to bring the loose pieces in my head together. Thanks a lot for this.

[@dark_gamer4550]

Best explanation of how Neural Networks work I have watched so far! Well explained and really intuitive

[@ayushkumarsingh8020]

this is the only explanation in youtube and the internet, that has finally helped to quench my thirst of understanding CNN!

[@BrandonRohrer]

Thank you!

[@CrazyMentor94]

one of the best videos about this topic I have ever watched. It is 1 in a thousand! Thank you for sharing it

[@BrandonRohrer]

Wow thanks!

[@Aditya-sj4ev]

A remarkably intuitive video for beginners. Thank you

[@kaypakaipa8559]

Wow, i this tutorial is packed with information. I had to rewind a 100times to grasp the art about weights & errors, nobody ever explains this part for mere mortals like myself.

[@BrandonRohrer]

Thanks! I'm really happy to hear it.

[@nagarjunavarikoti8160]

Super! Crisp clear explanation with breaking down complex concepts into easily understandable steps.

[@ajitmohanraj]

Beautifully explained Brandon and so clear - thank you !

[@3rdman99]

I'm so glad to finally find the videos about NN explained by somebody whose English I can understand.

[@handokosupeno5425]

Your explanation is amazing, from your video i can understand neural network. Thanks

[@hackercop]

Sir, just finished watching and you explained this very well especially the second half with gradient descent and backpropagation. Thank you so much, have liked and Subscribed!

[@sjdcknsn]

Really good explanations. Just the right level of detail for my understanding. Thanks.

[@AkshajBunny]

Thank you so much! I didn't have to pause once to understand anything. You explained it so perfectly.

[@HackBoy678]

I'm only halfway through but really, you're amazing at teaching and explaining concepts. Thank you

[@ramalingeswararaobhavaraju5813]

thank you so much Mr.Brandon Rohrer sir for your good teaching on convolutional neural networks.

[@brendanj.gifford1059]

Wow! Very well done :) Perfect pace, content, and explanations.

[@lordcarl3374]

Magnificently explained sir, well done.

[@ivaniliev93]

This is the best video I have ever watched about machine learning. You have more than just a talent.

[@raibek-the-coder]

I can't imagine how hard it was to make this cool video! Many thanks to the author!

[@BrandonRohrer]

I'm glad you enjoyed it!

[@samirana8931]

First time replying to any tutorial in 7 years, You really know how to make others understand, Would love o work with you if I get a chance ever.

[@lukas-hofer]

insanely good explanation, never seen anything like this. thanks a lot

[@zacdef8845]

Fantastic video. The conclusion really summed up everything nicely.

[@colinwilliams3459]

Jesus this was a fantastic tutorial I imagine you spent many months working on!

[@pikachu-rk8sp]

Thanks a lot !! You are one of the best teachers ever!!

[@prajwalchauhan6440]

amazing explanation with great examples

[@saianishmalla2646]

I've learnt so much from these videos thanks a lot!!

[@vudong6116]

Great teacher! Big thank for your sharing to every body!

[@eddie31415]

Amazing explanation. Thanks a lot!

[@ys2937]

Wow, the explanation is easy to be understand. Thanks for your work. it helps me a lot

[@UdemmyUdemmy]

A one hour well spent.,,in my Life...

[@xaverbirrer3793]

Outstanding, many thanks for this educative video

[@darkprofessor]

Thank you. I was in need for such a video. Well done.

[@DPortal17]

THANK YOU THANK YOU THANK YOU. Finally I understood what Convolutional NN is. Great vid bro.

[@BrandonRohrer]

I'm so happy to hear it!

[@brun301]

This is such a clear explanation, thank you!!

[@berhanet]

Best explanation of backpropagation I've seen fr. Thank you SO much!

[@BrandonRohrer]

Thank you Berhane! I appreciate it.

[@edmirkovac]

Brandon beside knowledge also has nice narrative ability, for me definitely best 1 hour of time spent...

[@abubakryagob]

Man, thank you so much! This is incredible work!

[@patecwariatec1]

Explanation is on point!!!

[@michawilinski1273]

damn, the most unexpected comment I have ever seen

[@thebrownfrog]

Patec??

[@muhtasirimran]

This is the video I needed the most. Thank you

[@tranpaul4550]

Just 10 mins into the video, I got a clear overall picture of CNN that I have searched for weeks. Thanks Brandon.

[@yasmenwahba9447]

WoW! This is by far the best tutorial out there for CNNs! Thank you...

[@lgsoftwares7093]

As usual great presentation.

[@InsaneBodyMexico]

Great work. Thank you so much. This has been the most useful video i have seen in NN!

[@BrandonRohrer]

I'm so happy to hear it.

[@ahmedidris305]

Thank you Sir for this crystal clear explanation

[@sophiafunworldatthepark6740]

Very good tutorial. Learn so many things

[@RAMYASCSE]

Super Sir. Finally I got what I have expected.

[@dani-bx9zg]

The best explanation I ever heard !!!!

[@leoramirez130]

Wow !!!! Great tutorial, my knowledge expanded 10 fold

[@mohammadamindadgar7766]

That was AWESOME. The minor issue was, there was no pointer. ( We could skip the issue with the great explanation)

[@BrandonRohrer]

Many thanks :) And I agree. After this video I changed my workflow so that I could record a pointer too.

[@omkarmpanicker]

Perfect !!! Such a great video . Thanks a lot Brandon

[@BrandonRohrer]

Thanks Omkar!

[@joedoe4316]

This really helps me out man, thanks!

[@rabinthapa1431]

best amazingly explained ,thank you Brandon

[@CartmanBrah]

Great video. Great teacher.

[@RahulKrishnan]

Thank you, it gave great clarity.

[@fromthenorthfromthenorth8224]

Fantastic presentation... thanks you

[@danielmonroy6874]

Awesome video! You helped me a lot!

[@joy-sm5sl]

thank you so much for your explanation. really helps me to understand what CNN is about

[@khonghengo]

OMG, you are an amazing teacher. Thank you a million times

[@BrandonRohrer]

Thank you tran!

[@imagineabout4153]

Excellent explanation, bravo.

[@mahadeonar7803]

You are a great teacher.

[@Ezio-Auditore94]

Thanks for this video it's invaluable

[@anonymousperson9757]

Thank you for this amazing video! It definitely helped clear a lot of stuff about CNNs for me. On a very random note, you have a great voice! I feel like you'd make an awesome audiobook narrator!

[@BrandonRohrer]

Aw thanks! That's a really nice ting to say.

[@haroldsu1696]

awesome lecture！

[@stipepavic843]

best lecture ever!!, subbed

[@DirkArnez]

This is what a tutorial video should be!

[@hackercop]

This explanation was great thanks. Subscribed

[@shairurafif1922]

Thanks for such an amaizing video

[@pranavpatil.9384]

Great explanation! Thank you!!

[@terryliu3635]

Great explanation!!

[@kazemtaghandiki3092]

excellent explanation

[@SarahKchannel]

Great teachings !1h of Brandon = 15h of Stanford lectures....

[@BrandonRohrer]

Thank you so much SarahK

[@SarahKchannel]

@@BrandonRohrer I would thank you much more for your efforts, you examples makes the subject so much easier digestible !

[@umkdr7971]

Just what I wanted ... Excellent !

[@shyboy2113]

Amazing dear...help alot to understand the foundation....👌

[@BrandonRohrer]

I'm happy to hear it

[@bengbengzhu5727]

amazing lecture

[@vctorroferz]

An incredible Video !! thanks brandon for such a good explanation to understand CNN. please don´t stop making more material . Greetings from Germany

[@BrandonRohrer]

Thank you Victor! I appreciate it.

[@Katara56]

Very useful, thank you!

[@elgs1980]

Thank you Sir!

[@skaterope]

quite good explanation Brandon ! Now i feel like sending CV to Tesla