Комментарии:
This video is really helpful,
Thank you so much for the video!!!
Honestly the best course I came across at the moment
ОтветитьHow to get transcript of this whole video into organised notes ? or atleast broken down into timestamps
ОтветитьExcellent course for the revision of all concepts of deep learning
ОтветитьGreat job. Thank you.
ОтветитьWe also perform Average pooling in CNN's
ОтветитьThank you bro. Great one.
ОтветитьSuch a great video - the explanations and pace were just perfect. I'm sure to use this video to review concepts time and time again... this was such well-put-together beginner material. Thank you so much for making this available for free! You are incredible!
ОтветитьGood choice of topics and I know you were going for shortest overview, but with very limited visualizations this content is not very useful.
ОтветитьGreat course for beginners, thank you
Ответитьgranddaddy of optimizers got me lol
Great video btw!!
Umm...I am searching for something greater than the " Thank you so much"
but for now tqsm for such a osum video on DL.
What are the prerequisites for this course?
ОтветитьNope, it happened
ОтветитьMuch appreciated.
ОтветитьThis course is damn hard.
ОтветитьNice one.
ОтветитьThis is a way better introduction than a University's Introduction to Deep Learning Course for beginners. While the university assumes some ML and computer science background before starting DL courses, this video is for complete beginners. I appreciate it!
ОтветитьGood course but tell us about the Advanced project
ОтветитьMy brain is really tired but this was very helpful. Addressed almost everything my lecturer mentioned in class
ОтветитьYou explain soooooooooooooo bad
ОтветитьThis is so deep and didactic at the same time! Thanks a lot for putting the effort to produce the video!
ОтветитьBrillant
Ответитьnot good explanation tbh
ОтветитьThank you it was really amazing course!!
Ответитьright not for me i dont understand mathematics
ОтветитьKeep up the good work🔥. Thank you😊
ОтветитьAfter watching a lot of tutorials or courses about deep learning, i can truly say this is probably the best! Everything organized and clear. Congratulations, it will help us a lot! Thank you
ОтветитьGreat job! As a FYI, when I used to teach, by the time I got to ANN's, I'd already covered statistical modeling. So it was always an "a-ha!" moment when I'd ask the class if they remembered the sigmoid function from before ... and that all the sigmoid functions acted like mini logistic regression models.
ОтветитьVery good for recapping the knowledge of Deep Learning. Thanks
ОтветитьThis is the first time I actually understand a little bit about AI. Great work.
Ответитьworst teaching method ever ,,, bro don't rush ,, teach us !! stop teaching from ppt ,, I came here for learning Neural network not listening your speedy words
ОтветитьThank You for this, this is my 2nd day into this field, and I think I know the big picture of how it all works and learnt around a month of stuff in a day or two.
ОтветитьI'm only 10 minutes in and there are already problems. We don't talk about the number of neurons in the input and hidden layers and yet we do a sum of 1 to n and the same n is used implying that there are the same number of input and hidden layer neurons or the formula is incorrect. The adjustment due to back propagation is somewhat skimmed over. Things are adjusted. What is adjusted and by what method / calculation?
ОтветитьIt's not learning, it's programming. Games and surveillance are things we need less of.
Ответитьbest explanation for DL
ОтветитьHELP
ОтветитьIs there some way we can get access to the powerpoint you are using??
ОтветитьAppreciate everything except that accent
ОтветитьOne does not simply descend Mount Everest blindfolded.
ОтветитьThank you, this is one of the best deep learning tutorials for beginners
ОтветитьThanks!
Ответитьnah...this isn't for me....
Ответитьjust a suggestion, how about this channel also provide pdf link in description.
ОтветитьIt´s crazy how much information this video has. Thanks:)
ОтветитьClear concepts
Ответить