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Пікірлер
@notSoAverageCat 7 күн бұрын
Poll 4, I don't understand. desn't momentum will lead to larger step size?
@DeltaJes-co8yu 14 күн бұрын
I really like how he gives the background information of scientists such as Donald Hebb. Makes it very engaging. Bhakshi an amazing professor! This must be the first lesson anyone should take on ML or neural network.
@sidharth929 29 күн бұрын
Best lecture on CTC!
@rj-nj3uk 2 ай бұрын
why does he have a spear 44:21?
@rohangarg7739 2 ай бұрын
its really tough to grasp.
@VonNeumannFan 3 ай бұрын
These are the best deep learning lectures ever on the internet. Can you please upload the worked out home work problem videos or something sort of those? because i dont think anyone who is self studying this course would know if their answers are correct. Thanks for helping people like me
@josephmartin6219 3 ай бұрын
Was really helpful, thank you!
@amitabhachakraborty497 3 ай бұрын
too much noise
@aravindreddyj4624 3 ай бұрын
I am following up with the schedule and want to do all the HWs and Hackathons. How can I get excess to those material
@VonNeumannFan 3 ай бұрын
U can find them in the course website, just search for CMU 11-785 and you can find all of them
@NanXiao 3 ай бұрын
23:47 starts the useful content
@amitabhachakraborty497 3 ай бұрын
First viewer
@jesperolsen98 3 ай бұрын
The mouse cursor is buzzing around like a fly-an unnecessary distraction.
@vdudz 4 ай бұрын
super swaggy
@MohammedAwney84 4 ай бұрын
could you please give a link to the notebook?
@AlgoNudger 4 ай бұрын
Thanks.
@fahaddeshmukh3817 4 ай бұрын
What's the name of this professor?
@paulrajkhowa 2 ай бұрын
Professor Bhiksha Raj
@gageshmadaan6819 4 ай бұрын
couldn't understand why we need to go through stochastic gradient updates randomly and not cyclically?
@AbidineVall 2 ай бұрын
Otherwise you will updates the function greedily wrt to a subsets of the dataset features which will be suboptimal, given that you need the model to "see" to some extent the whole features. Randomness here is used to the extent that it will allow somewhat for a sweep on large set of training samples features, via the random sampling. Your bet here will be that the random sampling process will pick on average diverse subset which will allow for a more realistic update of the model parameters.
@cholocatelabs 4 ай бұрын
Great lecture :)
@egeboguslu682 5 ай бұрын
59:46 "Sometimes these formulae may not make sense, but then if you look at them just right, they begin telling their own story, rigth? Every single mathematical term in life tells you a story if you know how to read it" 🤓✨
@harshdeepsingh3872 5 ай бұрын
wow , everything falling in place !!!!!!!!
@egeboguslu682 5 ай бұрын
Wow, breathtaking quality. This series might be the most comprehensive explanation available for deep neural nets, somehow the professor is able wear the students hat and asks the most critical questions every time! Big thanks to everyone involved in making these available.
@HetThakkar-h8h 5 ай бұрын
This was absolutely brilliant. A masterclass in lecture content design. Very well pieced together -> great flow -> Wow moment towards the end -> evokes a lot of curiosity
@britaom3299 5 ай бұрын
A great and informative lecture!! Very much appreciated!
@chovaus 5 ай бұрын
best course about deep learning. now 2024 and happy I found it back. well done!
@yadavadvait 6 ай бұрын
nice lecture!
@ahmadmaroofkarimi9125 6 ай бұрын
lecture begins at at 6:02
@harshdeepsingh3872 6 ай бұрын
Best explanation , can't thank enough for uploading these lectures .
@emrullahcelik7704 6 ай бұрын
Great lecture, thank you!
@yadavadvait 6 ай бұрын
I struggled with grasping how the dimensions of the filters and data change with the convolutions and pooling, and this video made it clear. Thank you!
@emrullahcelik7704 6 ай бұрын
Wonderfull lecture! Thank you.
@pangs11 6 ай бұрын
Lecture starts @ 2:26
@pangs11 6 ай бұрын
Lecture starts @ 3:38
@peichunhua7138 6 ай бұрын
Start at 12:42
@yadavadvait 6 ай бұрын
thanks!
@peichunhua7138 7 ай бұрын
Lecture starts at 1:15
@ML_n00b 7 ай бұрын
great carefully thought out original course, was watching this leisurely and didnt realise an hour went by
@vincentdey4313 7 ай бұрын
This is a very good teacher. He knows how to explain things to students very well
@nayanvats3424 7 ай бұрын
Your teaching unravels the exact concept that is missed by most tutors. Thanks for the great lecture ❤
@danhvo2702 8 ай бұрын
Thank you for great lecture! ps/ The stick you're holding is impressive.
@laalbujhakkar 8 ай бұрын
These lectures are some of the best on the 'net along with Andrew Ng's lectures on Deep Learning. Mad props to the instructor who takes the time to go through the concepts. I wish I had access to the quizzes and group discussions.
@laalbujhakkar 8 ай бұрын
What does "We have the id hiyore" mean?
@ian-haggerty 8 ай бұрын
Thank you again to Carnegie Mellon University & Bhiksha Raj. I find these lectures fascinating.
@ian-haggerty 8 ай бұрын
Couldn't help but think of 3B1B videos on hamming codes watching this.
@ian-haggerty 8 ай бұрын
Loving this series! Such a talented lecturer.
@vctorroferz 8 ай бұрын
thanks for sharing ! :) how can I find the rest of the lectures of the bootcam? thanks again for such nice job!
@javier2luna 8 ай бұрын
30:12 question: When he says h1, h2 and h3 are k1, k2 and k3 but h1, h2 and h3 are hidden layers of a neural network. Right?
@florianstephan5745 9 ай бұрын
Amazing lecture as usual, thank you! 2 Cents from a German: Nouns (apple, name) start with a capital letter, so you would write "Apfel" and "Name"...but very happy you have chosen German in this example ;-)
@bradfordgross2722 9 ай бұрын
'Promosm'
@cerealpeer 9 ай бұрын
oh wow
@cerealpeer 9 ай бұрын
worker app for open assistant plz
@cerealpeer 9 ай бұрын
use recursive retention