Easily one of the best current online courses for Deep Learning. Not only is this guy clearly an expert but he is just so enthusiastic about the subject. He doesn't just lecture but he actually teaches you. I love it when he says 'more concretely'. That always reminds me of Andrew Ng - another brilliant teacher of machine learning. Andrew's lectures are legendary! Anyway, well done Justin - keep up the good work!
@jovboi Жыл бұрын
Can't believe he was teaching for the first time and he managed to make it so good and interesting. Really good job.
@glowish1993 Жыл бұрын
Standing ovation for Michigan Online casually dropping one of the clearest, best explanations of deep learning online, all for free! We truly live in amazing times
@mueez.mp44 жыл бұрын
This has to one of the best intros to CV ever! I'm in awe of the concise summary of the most influential papers in this field.
@gothops1542 ай бұрын
Edge importance makes so much sense when I think about it. Edges are everything. If I go to draw a car on paper, I just need to see the outline of the car to know its a car, I don't need to have the whole thing filled in. This was a really interesting way to think about vision both human and computer
@yassiraladdin58864 жыл бұрын
Thank you so much Justin. The best lecturer evveerr💯 From Sudan 🇸🇩✌️
@SeaWaves84 ай бұрын
Thank you so much for making this public
@hileamlakyitayew9450 Жыл бұрын
An actual master piece, thank you so much!!
@DariaShcherbak5 ай бұрын
Thank you for an amazing lecture from Ukraine!
@sanjivgautam90634 жыл бұрын
I remember Justin from Andrej Karpathy cs231 course. It was a terrific course. Would love to check this courses again as I can see Transformer and other stuffs added here in his playlist.
@dulatormanov48092 жыл бұрын
hello should I see this playlist instead of cs231n? can you give your opinion please?
@skilllessness_official2 жыл бұрын
@@dulatormanov4809 I haven't checked the cs231n course (2017), but I only checked the one from Andrej Karpathy. Andrej is the best one, personally. I left this course halfway because I have to change my domain from ML to Full stack. All the best for your future endeavors and good luck on your ML journey.
@dulatormanov48092 жыл бұрын
@@skilllessness_official thank you!!!
@Timkok6214 жыл бұрын
Was looking for it for a while.
@ibrexg Жыл бұрын
Great lecture, thanks for sharing. In my opinion, slide 9 should be modified: computer vision is part of machine learning. Deep learning also should be inside artificial neural network which is part of machine learning.
@andrewstang85909 ай бұрын
In my opinion, I disagree with your opinion. Let me explain why: Computer vision tasks were performed before we start to do the same task from data (machine learning). Typical algorithms like SIFT, SURF and ORB were hand-engineered features and descriptors that were used for object recognition and matching. These didn't learn from data but were rather manually crafted. But now, we can use machine learning and mostly deep learning for computer vision since this takes away the manual form of generating features and the like. Thus, I strongly agree that CV overlaps with machine learning as depicted in the lecture slides rather than being completely part of machine learning unless your definition of being part means overlap. For the second part of your comment, I think it will be redundant to add Deep Learning to AI if you agree that it is within ML which is already part of AI. Everything in the ML domain are automatically and completely part of the AI domain as well. Best regards, bro.
@souhaiblouda38212 жыл бұрын
Thank you, very much sure this is a really good lecture series!
@_tube71944 жыл бұрын
Thanks, it is nice lecture from Ethiopia
@paulks97712 жыл бұрын
Thanks from Lithuania!
@berresengul96773 жыл бұрын
Amazing lecture!
@raphaelkalandadze9691 Жыл бұрын
First of all, thank you so much for this amazing course. I have learned a lot from your lectures. Can I ask when this course will be updated?
@joncarter22873 жыл бұрын
This is a really good lecture series!
@Anas01-c4s10 ай бұрын
amazing
@Mustapha-r5d Жыл бұрын
awesome
@jijie1334 жыл бұрын
Great!
@yunzu-oe5rk8 ай бұрын
I'm trying to take the course, but the course homepage seems to be down. Is there any way I can get these slides?
@ashwinsreevatsa99143 жыл бұрын
Ngl the history of computer vision is pretty convoluted
@vrushabhmankar19888 ай бұрын
Does this lectures has code and code exercises
@stringtheory3898 Жыл бұрын
I'm a PHP web developer so is there any prerequisite knowledge that is necessary to get started with this course ? I just started watching the video course on random basis as I find it quite fascinating and interesting ...Plz let me know...
@Nur_Md._Mohiuddin_Chy._Toha17 күн бұрын
👍👍👍👍👍👍
@williamwang73973 жыл бұрын
I strive for a future in which a ConvNet can be cognizant of why Obama stepped on that scale.
@AliSher-kv3pd2 жыл бұрын
Bro,i am confused in deep learning and computer vision bcz i am not understanding when to use deep learning and when to use computer vision bcz sometimes deep learning is being used and sometimes computer vision so i am confused 😕 for what problems deep learning is used and for what problems computer vision is used bcz they are similar,i also have searched from google but not clear confusion
@m.hassan81422 жыл бұрын
first go with pre requistics of computer vision and deep learning.
@kyungryunlee96263 жыл бұрын
Is there a special reason why we use pytorch instead of tensorflow(2.0) for education?? I mean for example the assignments. Is it Because its more intuitive and user friendly for beginners?
@guavacupcake4 жыл бұрын
Can we get 1080p? This is 2020
@Enem_Verse3 жыл бұрын
720p is very clear
@aiinabox12603 жыл бұрын
what is the difference between Deep Learning and Computer Vision. Are these two terms are same , technically ??
@marwasaid34513 жыл бұрын
Computer vision is that you want to make the computer see Like finger print, face recognition, classifying different images of different categories etc Deep Learning is one of the tools to let you achieve computer vision
@mubhalerao11 ай бұрын
It’s more like looking and seeing, you look at something we involve vision , we see something we involve recognition of the vision or what we are looking at . A rope in the dark could be a snake or a rope depending on recognition, vision Is acknowledgement of an object which may be a rope or a snake . The deep learning is the intelligent differentiation between a rope or snake
@akutenshi70234 жыл бұрын
Ahhh interesting
@josephgaribaldi43402 жыл бұрын
Amazing as they recede into history Minsky and Parpert wont be remembered for their positive contributions but more for their unintended negative impact on the field of ANN.
@zhiqiangxu75484 жыл бұрын
come from cs231n
@terahantwi4942 жыл бұрын
😍
@AbidAhsan-yp4dc4 жыл бұрын
its I think better modified version of standford CS 231n ..... well done justin... but if the lecture materials and code implementations were public ,it would've been better.....
@dulatormanov48092 жыл бұрын
hello should I see this playlist instead of cs231n? can you give your opinion please?
@AbidAhsan-yp4dc2 жыл бұрын
@@dulatormanov4809 I think you can, he went into much more topics and explanations are quite intuitive..
@dulatormanov48092 жыл бұрын
@@AbidAhsan-yp4dc thank for reply! if I see this playlist it is counted that I do not skip anything from cs231n,am I right?