For Last Vector at (4,1) the value is not 0.425 it is 0.725. But it was an great tutorial I have exams coming this really should help me. Thank you for your efforts keep helping us and future generations to come !!!!!
Thank you again! I really do not know why people say you explain fast! I really learned very well, and you, you have backward button on your media player too.
@@nikronic Foraward button bafkward buttons dabane se acha video normal speed pe bana leta, I already running short of time no time to do forward and backward
So what happens after this? I update the learning rate and keep going i suppose... But how long? What is the condition for stopping? I have to set limit to how small the learning rate can be? (for example set it to 10^-4) Or am missing something big here?
Tereko slow motion mei sune kya, kitna fast bhagega....yaha pe slow learner aate hai isliye toh colg mei samaj nai aata....LD candidtates please like me
For Last Vector at (4,1) the value is not 0.425 it is 0.725.
But it was an great tutorial I have exams coming this really should help me. Thank you for your efforts keep helping us and future generations to come !!!!!
Thank u so much for explaining such topics... your videos help me a lot.. many books are available but couldn't find such examples ...God bless u
This guy is a life saver for my Neuro fuzzy exams!!! Thanku so so much!!!!!
Great video. Best explanation ever.continue with more videos please .👍👍👍
Very clear and precise. Keep it up bro.
The value for w41(new) that I get in the end is 0.725 for the 4th input vector.
Yes.... absolutely right !!
Wrong
No sé inglés y aún así entendí perfectamente. Excelente explicación👌
you sir are a GENIUS, many thanks!!!
Thank you again! I really do not know why people say you explain fast! I really learned very well, and you, you have backward button on your media player too.
There is less time in my life, I m gonna die soon.
@@hrb9877 There is forward button too! ;-)
@@nikronic Foraward button bafkward buttons dabane se acha video normal speed pe bana leta, I already running short of time no time to do forward and backward
problem has been solved, many many thanks...........
When would the updation of weights Stop? How do we know the number of epochs or iterations required ?
When there is no noticeable changes after weight updates
According to the video, when you finish calculating with the input vectors
This example can be found on the book "Fundamentals of Neural Networks" by Laurene Fausett (page 169). It is well explained there.
well explained..thank you
thankyou for the video
Brooo thank you so much. Nice explanation👏
Great explanation and demonstration. Big thanks. Please try to make a video on Back propagation with example like this one. Thanks once again!
Thank you very much for this tutorial, friend :) It was very helpful.
Thank you so much! Very well explained!
I'm subscribed your channel for this video...
This video helped me in correct situation
NICE VIDEO... please add a video to update the learning rate... show the final output i.e. output clusters
0.75x 😂
What are you saying!! I watched it at 2x.
@@tppt3987 same
If you tried 0.5x you wouldn't have said that
When will we update learning rate? Not even once was it updated in the video
Many Thanks, but i think the very last figure (weight) = 0.725 Not 0.475 --> Calculation 0.45 + 0.5 (1*0.45) = 0.725
(1-0.45) not (1*0.45)
Yeah bro u r right
Yes bhai
very nicely explained
Thanks for the video.
What is the convergence criterion?
Good and clear explanations, Sir. Thank you.
Good explanation sir
Thank you so much! It helps a lot! 💜💜💜💜
Thanks man! much help
por favor habla mas despacio. I like it!!! Good video, congratulations!!!!
i often joke about 'pajeets' but you guys dont get enough credit for how hard you study.
thanks for the video man.
Nice video but don't we update the learning rate?
thanks for the explanation
Thank u so much
Nice samja sab!
good explanation
Thank you for your efforts
Bro, mzze aa gye
Is there a reference book you can provide for your tutorials ?
Very nice
Excellent！
Superb !
really appreciate the hard work and tremendous job done :)
thank you sir
Superrr bro
itna speed tha ki man hi ni kiya dekhne ka
Very good tutoring my question is, how could clustering data from a matrix, like an image.
Good
great video))
you are genius
thank you so much that was very useful for me
by the way, results of w new is false
Please, how did you get the values for the initialized weights?
Small Random values have been considered.For one Cluster in increasing order, For the other in decreasing.
@@btechtutorialByNishantMittal so, I can choose any random number that is less than 1
Yes u can.
Please add more videos as my exams are very soon
nice video, can you please update the video of CPN
Kyaa aap ki train ki late hore the kya bro
Thank you
This question can be stupid but I have to ask. So If we have 3 values in inputs (instead of four , like [1,0,1]) how we calculate then ?
Reduce speed to 0.75, use your pen and paper to follow along
Bhai thoda slow kr le... BTW great work
Right
where did the value of alpha come from ?
@btech tutorial plz tell me the source of the question from where did you took the question ?
Hey pillai guys....
Ç Plz provide video of Linear Programming Problem using graphic and DuAl SIMPLEX method with examples
So what happens after this? I update the learning rate and keep going i suppose...
But how long? What is the condition for stopping? I have to set limit to how small the learning rate can be? (for example set it to 10^-4) Or am missing something big here?
Bhai dhanyawad 🙏pass kardega tu bhai
😘😘💞
i adore your speed, which is not found in the other Indians, no offence.
Can i get notes of this subject ?
How to visualize that code
How identity alpha?
How value is ...W41 =0.475 ??
Step 4 learning rate α kb update krenge apne explain bhi nho ki 4th step
When do we use step4..
Learning rate a=0.5a
After one complete iteration.
When do you update the value of alpha?
in tunning paramters, where you try different learning rates
Please teach the linear algebra instead of the arithmetic :p
what about step 4???? updating learning rate???
Learning rate is multiplied by 0.5 for every epoch
itna ghai me kaha ja rahe the bhai??
You started directly with an algorithm, why didn't explained the SOM first
bro you have written wrong formula for eucledian distance at 2:35, it should (xi-wij)^2
However both give you the same result....
bhai bhot speed se kya sab kuch aap ne 😀
Terko etna kaha bhag kar jaana tha. Etna fast tutorial banaya.
Nice . But too fast . Slow study wins the race.
Plss explain faster bro...Bore ho gae itna slow me
teach slowly bro pls
Tereko slow motion mei sune kya, kitna fast bhagega....yaha pe slow learner aate hai isliye toh colg mei samaj nai aata....LD candidtates please like me
flash who?
Y so hurry??
thank you , hope you drink after :D
Bruh don't mean to be rude but its ok to catch ur breath once in a while instead of rushing it.... Everything else was good nice explanation
why this much speed?? absolutely not needed.
r=?
ussain bolt is slower than u
already 1.25x, lol
please speak little slow
O.75x is the key to watch !
Huh! and I was playing this at 1.5x
@@AbhinavKumar-qn1dt It ain't EDM bruh
Drop the beat
@@AbhinavKumar-qn1dt hahahha
you are very fast i can’t understand
Say slow bro not catching an express..
If possible use Hindi language for explaining
Is that Sachin Tendulkar's voice??😂😂😂
haha
HAHAHAHHA ARE YOU IN A RUSH OR WHAT
I think it's his way of teaching
Thank you sir
Thank u so much