Great video. Ive learnt more about machine learning in this video than a considerable number of others.. Hes a man that gets straight to the point with no fluff. Thanks
I really thank you @Alena K for these video sessions of the DL book. Very useful material to deepen the undertanding of the key concepts presented in the book. Keep up the great work!
Hi Alena, Thank you for sharing such a great tutorial of Deep Learning Maestro Ian Good fellow (GAN creator). I really appreciate it. He is my machine learning Guru. At last, I found somebody who is also an enthusiast of ML. Thank you again.
The book consists of a plenty of ideas and hints. Practicing yourself several NN or joint some courses of practicing NN helps to understand this excellent book.
Really enjoyed this. In 40:14 Ian states that in the human brain, there are 10 times more backward connections than forward connections. Could someone point out the reference or paper for this?
Auto generating spanish subtitles in the cc (the algorithm thinks Ian is speaking Spanish?). Haha is there a way for you to fix this on your end? Maybe when you uploaded the video you chose a language?
Next week on Monday August 7 Chapter 12:Applications will be presented by author Ian Goodfellow RSVP here: www.meetup.com/Deep-Learning-Book-Club/events/240769155/ We will be streaming live at this link: ruclips.net/user/AlenaKruchkovalive
Talking about the depth of the model, in the book he explained about the another perspective of deep probabilistic model can someone explain me about that or share me some reference link.. thank you
I thought the primary use of Neural networks is to solve non-linear functions, so why he said at 1:18:00 Deep learning models/architectures are mostly linear
REPLY linear in the sense of how output varies with input (semantic) or how the network learns..the network only learns based on the input you feed it..i.e. somehow a linear relationship between the input you feed and the things it learns.. i guess it has nothing to do with network parameters or decision boundaries or function approximation
@ 1:18:00 he says Deep learning models/architectures are mostly linear. What does that really mean? Any examples? Does that mean, output is linear combination of input parameters? I would like to understand this fact clearly with some example
linear in the sense of how output varies with input (semantic) or how the network learns..the network only learns based on the input you feed it..i.e. somehow a linear relationship between the input you feed and the things it learns.. i guess it has nothing to do with network parameters or decision boundaries or function approximation
this is one of the most disgustingly boring lectures i have ever had to go through. academia struggles to be interesting because of the way information is presented, very poor oratory. not taking away from this person's qualifications, i'm sure they're unquestionable but unfortunately this feels like him showing off how much HE knows about the subject and an attempt at validation instead of reaching the students. there is no passion in explaining, it's just a dead delivery. i strongly dislike lecturers like him.
tHiS Is oNe oF ThE MoSt dIsGuStInGlY BoRiNg lEcTuReS I HaVe eVeR HaD To gO ThRoUgH. aCaDeMiA StRuGgLeS To bE InTeReStInG BeCaUsE Of tHe wAy iNfOrMaTiOn iS PrEsEnTeD, vErY PoOr oRaToRy. NoT TaKiNg aWaY FrOm tHiS PeRsOn's qUaLiFiCaTiOnS, i'm sUrE ThEy'rE UnQuEsTiOnAbLe bUt uNfOrTuNaTeLy tHiS FeElS LiKe hIm sHoWiNg oFf hOw mUcH He kNoWs aBoUt tHe sUbJeCt aNd aN AtTeMpT At vAlIdAtIoN InStEaD Of rEaChInG ThE StUdEnTs. ThErE Is nO PaSsIoN In eXpLaInInG, iT'S JuSt a dEaD DeLiVeRy. I StRoNgLy dIsLiKe lEcTuReRs lIkE HiM.
Great video. Ive learnt more about machine learning in this video than a considerable number of others.. Hes a man that gets straight to the point with no fluff. Thanks
Thank you for all the Deep Learning love
your #1500 subscriber.
thank you! i hope this is a useful resource to people!
Thank you for giving information from this great video series from the book. Found it from reddit. Your subscriber now ;)
Thank you Alena
Best regards from Egypt
I love elena!!!
I really thank you @Alena K for these video sessions of the DL book. Very useful material to deepen the undertanding of the key concepts presented in the book. Keep up the great work!
Hi Alena, Thank you for sharing such a great tutorial of Deep Learning Maestro Ian Good fellow (GAN creator). I really appreciate it. He is my machine learning Guru. At last, I found somebody who is also an enthusiast of ML. Thank you again.
Much thanks for uploading the whole series!
Thank you for uploading this video!! Looking forward to ongoing series.
alena, thank you so much. Lots of love to you for sharing this series.
Thank you for sharing the video! I just started reading the book.
Thank you Sooo much Alena, busy going through the book, I am pretty sure these videos help me and save so much time
The book consists of a plenty of ideas and hints. Practicing yourself several NN or joint some courses of practicing NN helps to understand this excellent book.
thankyou for this sharing these series of video.
Thanks for uploading this!
Great videos. An updated version will be great. So much has changed since then.
Hey Alena, Thanks for sharing this series
Привет! Спасибо большое!) Хочется побольше контента на канале :)
Thanks for uploading this session!
Hey! This series is awesome. Thank you : - )
Hi @Alena K, Thank you so much for uploading these wonderful videos. They are really amazing!
This guy really knows what he is talking about! Flawless!
He invented GAN
Thank you for sharing the video!
Thank you for this video Alena !
Really enjoyed this.
In 40:14 Ian states that in the human brain, there are 10 times more backward connections than forward connections.
Could someone point out the reference or paper for this?
Thank you Alena! Please suggest some resource for feature engineering practices used by practitioners.
Auto generating spanish subtitles in the cc (the algorithm thinks Ian is speaking Spanish?). Haha is there a way for you to fix this on your end? Maybe when you uploaded the video you chose a language?
We live in a time when 30-year-old guys write bestsellers on machine learning. Amazing
Next week on Monday August 7 Chapter 12:Applications will be presented by author Ian Goodfellow
RSVP here: www.meetup.com/Deep-Learning-Book-Club/events/240769155/
We will be streaming live at this link: ruclips.net/user/AlenaKruchkovalive
It's really great! Thanks a lot!
thanks for watching!
Thank you, very good
Just started with the book.This is amazing.
can you please tell the name of the book
@@vamsikrishnakarella7557 Just search Deep Learning by Ian Goodfellow
Same!
Alena, i deeploving you !!
Talking about the depth of the model, in the book he explained about the another perspective of deep probabilistic model can someone explain me about that or share me some reference link.. thank you
really cool
Now i know why my prof. recommend me this book.
Ian doesn't blink at all.
Mr.Robot lol
Alena - Thank you!
Thank you Alena
"OpenAI beats Dendi" brought me here.
I thought the primary use of Neural networks is to solve non-linear functions, so why he said at 1:18:00 Deep learning models/architectures are mostly linear
REPLY
linear in the sense of how output varies with input (semantic) or how the network learns..the network only learns based on the input you feed it..i.e. somehow a linear relationship between the input you feed and the things it learns..
i guess it has nothing to do with network parameters or decision boundaries or function approximation
It great ,but when open the subtile ,the auto language is spanish ?
Ian doesn't blink much. He can't be one of us. Could be the first sentient AI. How else could one be able to teach machines to dream?
I tried to follow his blinking pattern and my eyes dried like the sun...
That would also explain his poor eye sight, which in turn motivates him to look inward and have more insight into the field. Just thinking.
Would you please set the correct language so the auto-generated subtitle could help people with hearing difficulties? Thank you in advance.
@ 1:18:00 he says Deep learning models/architectures are mostly linear. What does that really mean? Any examples? Does that mean, output is linear combination of input parameters? I would like to understand this fact clearly with some example
yes; the weight matrix is multipied by the input with possible bias added
linear in the sense of how output varies with input (semantic) or how the network learns..the network only learns based on the input you feed it..i.e. somehow a linear relationship between the input you feed and the things it learns..
i guess it has nothing to do with network parameters or decision boundaries or function approximation
Read his paper on adversarial examples, it's explained well there... arxiv.org/abs/1412.6572
The DL Legend
Hey Alena. I wanted to ask, is this book and the video series still relevant?
There is a very strong correlation b/w finger length proportions and criminality
why Spainish?
Same question
i can see references to a book club. Is this for Ian Goodfellows's book ? If it is still active, how do I join ?
Hi Ac! We have just finished the boom so book club is now over :(
21:26 ChatGPT, Bard, Vicuna and list goes on.....
the problem is some learn from the best and i .....
Hello Alena, are you a daughter of KGB general Kruchkov?
lol no!
Anybody that wants to talk about calcium channels?
Thanks by the video elena
The tanslation not is good
Please in hindi language
seems more like robot than human
that is not nice
@@AlenaKruchkova To us he IS GOD 🙏 You humans will never understand.
this is one of the most disgustingly boring lectures i have ever had to go through. academia struggles to be interesting because of the way information is presented, very poor oratory. not taking away from this person's qualifications, i'm sure they're unquestionable but unfortunately this feels like him showing off how much HE knows about the subject and an attempt at validation instead of reaching the students. there is no passion in explaining, it's just a dead delivery. i strongly dislike lecturers like him.
tHiS Is oNe oF ThE MoSt dIsGuStInGlY BoRiNg lEcTuReS I HaVe eVeR HaD To gO ThRoUgH. aCaDeMiA StRuGgLeS To bE InTeReStInG BeCaUsE Of tHe wAy iNfOrMaTiOn iS PrEsEnTeD, vErY PoOr oRaToRy. NoT TaKiNg aWaY FrOm tHiS PeRsOn's qUaLiFiCaTiOnS, i'm sUrE ThEy'rE UnQuEsTiOnAbLe bUt uNfOrTuNaTeLy tHiS FeElS LiKe hIm sHoWiNg oFf hOw mUcH He kNoWs aBoUt tHe sUbJeCt aNd aN AtTeMpT At vAlIdAtIoN InStEaD Of rEaChInG ThE StUdEnTs. ThErE Is nO PaSsIoN In eXpLaInInG, iT'S JuSt a dEaD DeLiVeRy. I StRoNgLy dIsLiKe lEcTuReRs lIkE HiM.