Gradient Descent Part 1 Chieh

  Рет қаралды 65,463

Chieh Wu

Chieh Wu

Күн бұрын

Part 1 of Gradient Descent tutorial with Chieh from Northeastern University

Пікірлер: 77
@askinchokkatravo5708
@askinchokkatravo5708 7 жыл бұрын
This is really really a great explanation. I went through hell lots of tutorials just to catch the basic of gradient descent, but this is the best fit to step in. Thanks a lot Chieh.
@abcdxx1059
@abcdxx1059 6 жыл бұрын
Me too
@muhammadseyab9032
@muhammadseyab9032 4 жыл бұрын
same here i searched alot but no one told the basics this man made it so easy
@gonzalogascameza6231
@gonzalogascameza6231 7 жыл бұрын
This is the best explanation of Gradient Descent I have seen. I have read books, watch other courses and many lack a clear explanation of this concept.
@rdguezc
@rdguezc 6 жыл бұрын
Nothing is better than a simple and well-explained example. Thanks for this video.
@moalirz6110
@moalirz6110 4 жыл бұрын
Half of the youtubers assume we don't know calculus that's so bad though it's easy and finally found someone who jumped straight to point , Thank you chieh for explanation
@lugia8888
@lugia8888 Жыл бұрын
BING MONG
@Jabrils
@Jabrils 7 жыл бұрын
finally someone that put gradient decent into simple english
@ณัฐพงศ์พันธุศิลป์
@ณัฐพงศ์พันธุศิลป์ 6 жыл бұрын
Agree
@HassanKhalil
@HassanKhalil 4 жыл бұрын
not a fan of zarglar?
@Sazzad088
@Sazzad088 6 жыл бұрын
At last a straight foreword explanation of Gradient Decent. Thanks man
@jamesspectre8492
@jamesspectre8492 6 жыл бұрын
Gotta say, one of the best breakdowns I've seen!
@theobaf1
@theobaf1 6 жыл бұрын
Hi Chieh.... why are you not more popular than Andrew Ng?!!! Best Gradient Descent tutorial ever!
@uppergroundec
@uppergroundec 4 жыл бұрын
the best explanation of gradient descent in youtube
@43SunSon
@43SunSon 4 жыл бұрын
@4:12 Question: where is the equation X_(i+1) = X_i-af'(X_i) coming from? Any resource I could take a look ? I wish to understand why the new one (X_i+1) is updated like that equation. Thank you!
@jambulingamlogababu8914
@jambulingamlogababu8914 Жыл бұрын
Awesome video sir, thank you very much for your super explanation
@wokwithjosh1473
@wokwithjosh1473 8 жыл бұрын
Nice work. You did better than my lecturer
@BlackCobra-010
@BlackCobra-010 6 жыл бұрын
Thank you Chieh.. Well explained.
@syedmostofamonsur7583
@syedmostofamonsur7583 6 жыл бұрын
Simplest and the best explanation.
@TB6943
@TB6943 7 жыл бұрын
Thank you for making the gradient descent method clear through this amazing tutorials!
@waisyousofi9139
@waisyousofi9139 2 жыл бұрын
Appreciating your time, Thanks for sharing sir.
@gusanwatheanalyst1833
@gusanwatheanalyst1833 Жыл бұрын
golden vid, rewind my memory when my brain is smart enough to understand this lol
@alzheimancer
@alzheimancer 7 жыл бұрын
God bless you, Awesome tutorial ever
@a-mohamedabbassa27
@a-mohamedabbassa27 Жыл бұрын
Very excellent explanation ❤
@VikasSunkad
@VikasSunkad 7 ай бұрын
Super Explanation...
@frankdearr2772
@frankdearr2772 Жыл бұрын
perfect, thanks about that topic, explaination is great :) 👍
@hemantmishra6879
@hemantmishra6879 4 жыл бұрын
Really good explanation
@muhammadseyab9032
@muhammadseyab9032 4 жыл бұрын
Excellent tutorial
@hamzabelmengaa2504
@hamzabelmengaa2504 6 жыл бұрын
You make it easy ,thank you
@abdulnuhu
@abdulnuhu Жыл бұрын
Thanks for such a simple and great explanation
@JawwadRafiq
@JawwadRafiq 5 жыл бұрын
i need this math in pdf or word file. Please let me know if you have.
@terrypan6168
@terrypan6168 8 жыл бұрын
really did a great job!!! Thank you Chieh
@frederickphelan4810
@frederickphelan4810 3 жыл бұрын
What is the whiteboard technology here? It says OneNote on the top middle but I also see Google on the left side.
@yewensong1708
@yewensong1708 6 жыл бұрын
Best tutorial ever !! Super helpful, thanks for making the video
@suryag7408
@suryag7408 6 жыл бұрын
Excellent explanation..Thanks verymuch
@harinadh999
@harinadh999 Жыл бұрын
Thank you very much for the nice explanation..For learners like me who look to start with basic examples, this helped a lot. Directly starting with 2 variables would be a bit harder to understand :)..thanks again
@shivaprakash551
@shivaprakash551 7 жыл бұрын
Very simple yet effective illustration.. Thanks
@venkateshmorishetty5489
@venkateshmorishetty5489 4 жыл бұрын
Thank you for great explanation
@arunbm123
@arunbm123 7 жыл бұрын
brilliant tutorials
@110Turab
@110Turab 6 жыл бұрын
Thanks a lot Chieh
@travelwithme3031
@travelwithme3031 6 жыл бұрын
Excellent Video !!!!
@KrishnaDwivedi-yd1hb
@KrishnaDwivedi-yd1hb 8 ай бұрын
very good explanation loved it.. can you make video on PCA in machine learning
@ChiehWu
@ChiehWu 8 ай бұрын
Watch this lecture series. kzbin.info/aero/PLdk2fd27CQzQo1DEthJ5MDBHoC66_1aDN
@hanyrhm
@hanyrhm 4 жыл бұрын
is the method use just for quadratic function or it can be used for the other function?
@NoureddineBahi
@NoureddineBahi 3 жыл бұрын
GREAT EXPLANATION , think you from morrocco
@stanislavnazmutdinov8321
@stanislavnazmutdinov8321 7 жыл бұрын
Amazingly simple explanation, many thanks!
@mimrankhan9974
@mimrankhan9974 6 жыл бұрын
would you like to share a program that you wrote on it
@ricardoalejandretrigo1238
@ricardoalejandretrigo1238 7 жыл бұрын
THANK YOU!! I have finally understood gradient descent thank you
@akrsrivastava
@akrsrivastava 7 жыл бұрын
Excellent explaination
@Gloriouscelebration.1324
@Gloriouscelebration.1324 Жыл бұрын
Thanks a lot.. finally understood
@sszhao11
@sszhao11 6 жыл бұрын
Makes sense. But can you do an example with exact line search to find alpha?
@CorDharel
@CorDharel 8 жыл бұрын
Great video and very good explanation thank you!
@dalelu9422
@dalelu9422 7 жыл бұрын
You are the best !
@rahulvaish3034
@rahulvaish3034 6 жыл бұрын
Thanks for posting this awesome explanation :)
@heshansandamal2731
@heshansandamal2731 7 жыл бұрын
great video
@John-wx3zn
@John-wx3zn 10 ай бұрын
Just by looking at it, I know the minimum is at 1,1 so why do you use gradient descent to find it?
@learner-dg9oi
@learner-dg9oi 7 жыл бұрын
best tutorial ever thanks.
@pete-p4t
@pete-p4t 8 жыл бұрын
very good explanation!
@dode4904
@dode4904 4 жыл бұрын
Thank you so much. I am in grade 10 and wanted to learn the algorithms for machine learning but all the other videos were so complex I coundn't follow. Not with this one. :)
@prashantsingh1096
@prashantsingh1096 7 жыл бұрын
Awesome !!!
@dabdas100
@dabdas100 7 жыл бұрын
finally a good explanation! thanks.
@senthilcaesar
@senthilcaesar 6 жыл бұрын
Easy to understand
@HugoRamirezSoto
@HugoRamirezSoto 7 жыл бұрын
Thank you for this explanation.
@abcdef2069
@abcdef2069 7 жыл бұрын
x2 = x1 + aa df/dx, suppose df/dx = 100000000 very steep, who is going to determine the aa?
@ibenesultan
@ibenesultan 21 күн бұрын
Simple and better
@ashaoluayanfe7474
@ashaoluayanfe7474 3 жыл бұрын
Thank you!!!
@hazemelkady7328
@hazemelkady7328 6 жыл бұрын
thank you , clear explanation
@jonhsonl2974
@jonhsonl2974 7 жыл бұрын
Very good example. Thanks. Can I point out minor mistake? Your graph is f(x),but you mix use f'(x) value。x=3 and f(x) should be 5, not 4.
@pnachtwey
@pnachtwey 4 ай бұрын
What the professors don't tell you is that in real life there isn't a formula that can be differentiated and that the 'terrain" isn't like a bowl with an easy path to the minimum.
@kadirkoc1759
@kadirkoc1759 2 жыл бұрын
thanks sir.
@kunleolutomilayo4018
@kunleolutomilayo4018 7 жыл бұрын
Thank you so much!
@nandhuramesh
@nandhuramesh Жыл бұрын
The final ans will be the minimum point is that correct
@manishaarya247
@manishaarya247 Жыл бұрын
But What 0.2 is ?
@athifshaffy1414
@athifshaffy1414 7 жыл бұрын
gradient descent we are supposed to do simultaneous update right? www.coursera.org/learn/machine-learning/supplement/2GnUg/gradient-descent According to this are you correct?
@minagabriel5556
@minagabriel5556 6 жыл бұрын
Very nice Video Thank, However, the graph of the function is not correct, f(0) should be 2
@josephkarianjahi1467
@josephkarianjahi1467 3 жыл бұрын
Gosh! So simple. KZbin should ban other tutorials from the internet on this subject. Other tutorials complicates things for nothing
@abcdxx1059
@abcdxx1059 6 жыл бұрын
Aha I know it now
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