01 - History and resources 

Thank you Alfredo. Words fall short to describe the amount of hard work and effort you've put into organizing the material and structuring it so well. Bless you. From India.

While I was bored listening to the lectures at my own university, I did not experience this in this video series. I even feel like I'm taking the class interactively at NYU. It's great that Alfredo interrupts Lecun and asks questions in our minds, adds fun to the lesson, and continues the lesson in an unconventional way.

I wanted to thank you for the efforts Sir. The way you described that NN basically warps the space this concept has cleared so many things in my mind.

I may not always like the jokes but I admire your caring for others to learn. Thanks for sharing the course!

Thank you so much!. This playlist is a gem.

Cool. I hope I have time to watch all the videos of this course over the weekend.

Great video, Alfredo. Thanks for sharing!

Thank you, Alfredo. We can't thank you enough for providing these video lectures for free. I have one small query btw, I was going through the course websites of the 2020 and 2021 versions. Which version would you suggest to go through? 2020 one looks comprehensible. Just wanted to confirm if both of the versions (2020 and 2021) contents are the same ? Thanks again :)

Thanks for your courses! It is awesome!

Coolest prof i have seen in a while! and the course seems extensive too.. Thank you so much for uploading 🙃

Thank you for sharing this to everyone. I was bored by my university courses which are not very understood, passionate and advanced.

Thank you Alfredo. Very Energetic and Informative..

Thank you for sharing Grant Sanderson website. Really inspiring and finally propose a great way to link many views and applications of linear algbebra !

Amazing that we are able to hear one of the people who developed deep learning.

I was always interested in this subject. But was procrastinating. Today I finally decided to learn this.

One of the most beautiful, interesting and joyful classes I ever came across. Can I join the entire module. Is there any specific steps I should follow prior to starting. I want to dedicate couple of weeks this summer to seriously absorb all the contents start to finish. Grateful for any recommendations. Thank you kindly Alf.

Many thanks Alfredo!! Awesome Job!!

Amazing lecture!! Thanks for sharing

Open Source Teaching. Beautiful stuff, Alfredo. Grazie amico!

Rosenblatt really started deep learning and I hope he continues to get more and more recognition. His devising the Perceptron and on top of that, manually building it is nothing short of genius. He died tragically and too young. But the Perceptron book by Minsky and Papert misconstrued his work I believe disingenuously, as it is known that Rosenblatt and Minsky were vocal rivals dating back years, what Rosenblatt was saying as only a linear network; in the original work Rosenblatt discussed multilayer architectures but had not yet devised backprop yet. He also laid the foundations for ideas about spiking networks and dynamical activity. The only reason he used a rate encoding sum + squashing function was in his words, due to the technological hardware limitations at the time.

Wow, so happy I found this. Yan's intro and historical survey was really interesting and useful. I remember being in grad school in the early 80s and feeling sorry for the guys studying AI: we all felt that they had no future. :) But, now, after most of the progress in basic processor design has been made, dnn and the rest of AI are looking like the best thing to investigate! The tables have turned.... :) Now, the AI guys can feel sorry for the rest of us. Ha! :)

Great to hear the voice of the Father of new AI era !

Great video!!!! waiting for more :)

Thanks! May you please list DOIs of cited articles in the description of the video, please ?

what is the best way to use the vidoes together with the course website..... looks like theres a lot of information and I don't know where to begin and in what order..... I need help

Awesome class. Keep them coming. Thanks!

Great work, thank you..

Nice video Thank you.

Magnificent class! Thank you :) 13:00 was so funny btw haha

How to get into NYU ? These lectures are too good.

thank you very much for this awesome course, are there open-access exercises with solutions that I can use to test my understanding after each lecture?

Hello Alf, I am so grateful for this course which I am watching and enjoy very much. I have an unrelated question for you. Could you please point me to a good book or tutorial on how to deploy a ML model. I have trained a decent classification model and need to deploy it to a website where users can upload their CSV input and get predictions also in a CSV file. Thank you so much in advance.

Hello :) 48:55 are the arrows the basis vectors of the classes?

Not a content related question - I just became very curious - Was there any point in your life when you decided to be just the way you are? You know, making a conscious decision... Thanks for the education. Much appreciated.

Beautiful framing. You look like a decision boundary for your background colours :)

Great job...

Grazie. Bravo 👏🏻👏🏻

Briallian animation at the end. Cheers ! Do interactive version of these animations exits??

hey dear alfredo, as a Business student, Can i watch this course and do assignments? or i should choose another course ? :(

Can you tell me why is it that neurons in a neural net uses this mathematical model i.e f(Ax+b) ,f is the activation function and inside is a affine transformation of inputs and not something else ?Is it just beacuse of the fact that they are inspired from biological neurons?

First lesson... to non-french speaking people... Try to pronounce Lecun with a french accent ;-) "un" in french is like the number "1" ... so ... try to pronounce the number 1 in french will give you "un" ... then integrate it into Lecun... lot of english speaking people say "LeKoune" instead of Lecun which sounds weird from our side. So ask Google translate to select french, then type "un" and listen to it ;-) ... You tried ? You get it ? You are doing great ! ;-)

Like your channel, professor, subscribed.

Do we not have hands on in this series or I am missing something. Thanks for the upload sir!

I was waiting for the next video because this one was the first on your channel (sort by date) but today I have found that they were already the others videos :((((

lecun aged like fine wine :)

How were the neural nets trained before 1985 ie before back prop was invented?

Wow, my idol!

Thanks, Alfredo for being a nice Human Being. PS: I like the sarcasm, keep it coming :P

Nice content 👍.please upload coding vedio as well Thanks.

🙏

I'm surprised as to why YoLo didn't make it to the list..

only a few words on his own masterpiece work haha

I like your food pictures ... but it looks you don't have a picture of "Arrosticini" ;-)

shame on me, i was eating ice cream while Alfredo just mentioned about it....

Isn't self-supervised learning has got the new fancy name of meta-learning these days?... correct me if I am wrong

Why does Yann looks like some Star Lord.

Before 1986 neurons were binary?! Sounds like a nightmare

what's the teddy bear doing on the bed

Yan started dyeing his hair like Alf's. It will take some time to reach his level. (joking).