If u observe in epoch 2, no weight changes were there... so even if you go for epoch 3, the weights will remain same.... so basically this process is to be done until there are no changes in that epoch.
How can a set of data be classified using a simple perceptron? Using a simple perceptron with weights w0, w1 , and w2 as −1, 2, and 1, respectively, classify data points (3,4); (5, 2); (1, −3); (−8, −3); (−3, 0).
Thank you so much sir, sir plzzzz make videos as soon as possible, our university examination is from 13 December 2018😓😓 & there is no proper videos available for neutral network. So please make videos as soon as possible... Plzzzz cover these topics also, Single layer continue perceptron, Multi layer perceptron Delta learning rules Winner take all learning rules Separability limitations Error back propagation Hopefield network
@@btechtutorialByNishantMittal Tks.. you took delta(w) as alpha*t*x.. but I've seen delta(w) as (target output- actual output)*input.. can you please elaborate as soon as possible?
Best one... In all I have ever searched.
Your teaching is really helpful...you save my marks in neural model...thank you❤
Cleared all my doubt , now I can implement jarvis too.
Awesome Video cleared all doubts.
Thankyou so much, video help lot while preparing for exam
Best video for perceptron
Why so much hurry bro...
Have to saw the whole video in 0.5 playback speed
And great teaching😂👍👍
loved it
very well explained
Good explanation but plz explain one thing. At the start of epoch 2, for the first input, why did you take x1 = 1, x2 = 1 and t = 1?
because those are the input values. You change only weights but not inputs.
were you running out of battery?
THANK YOU SO MUCH...🙏
Hello boss, can u give us a clear picture of where these shall be used and why do we have to follow the steps ?
Is that mandatory ?
Also
good explanation. can you plz tell when to stop. what did you mean by final answer.
If u observe in epoch 2, no weight changes were there... so even if you go for epoch 3, the weights will remain same.... so basically this process is to be done until there are no changes in that epoch.
why in so much hurry?
She wants you to fail. hahahahaha
Because he knew we will watch this video before 5 min of exam😂😂😂
🤣🤣🤣
How can a set of data be
classified using a simple perceptron? Using a simple perceptron with
weights w0, w1 , and w2 as −1, 2, and 1, respectively, classify data
points (3,4); (5, 2); (1, −3); (−8, −3); (−3, 0).
good explanation
Itni kya jaldi thi bhai
smjaya acha is ne par lagta bhai ko zooooor se shu shu aya hy :D
Thank you so much sir, sir plzzzz make videos as soon as possible, our university examination is from 13 December 2018😓😓 & there is no proper videos available for neutral network. So please make videos as soon as possible...
Plzzzz cover these topics also,
Single layer continue perceptron,
Multi layer perceptron
Delta learning rules
Winner take all learning rules
Separability limitations
Error back propagation
Hopefield network
Good one Sir! 👌
Final table me last row mein -3 k baad -1 hoga..naa ki 1
Bro great work done but always try to explain from scatch and easily
Watch in 0.75 x
same
how is b value changing?
Thank you very much 😊
Best explanation but please improve video quality
in some texts the weight updation is done as "delW= alpha(target-output)Xi" instead of what you have taught. which one is the correct one
It is the delta rule.
What is epoch 1 & 2
thank you so much
Then what we will call .... After how many epoch do error converge ?
kindly tell me value of bias for 1,2,3,4 inputs for calculation yin. why we take zero value in 1st input?
THE BEST!
Lots of doubts like how many epoch and what are the applications of algorithm
Bhai har ek case m bias ki values kha s pta krte ho???
Aur weights ki bhi
Can you provide pdf of your notes?
how many epoch are compulsory for solving the numerical?
untill you find new weight pattern same..you can carry on calculating epocs
woah slow down boa!!!
Clear the concept but not in hurry!!!
Express train jaise kyu padha rahe ho...
Ekadam bakwas laga...
Tum aaisa samjho ke hame loogo ko kuch nahi aata
u can always reduce the speed right. He probably wants to cover it in a particular time frame :)
@@nithyasha9219 true that.
make more video with more examples
what's the hurry???
Is it compulsory to assume theta as 0 ?
For all gates theta will be zero or only for AND gate?
Yes to make calculations easy you should assume theta as 0. Not only for AND gate, but for whatever question is concerned.
What is the Learning solution to a problem ? Pleas can u solve this q
Bhai kis bat ki jaldi hai morning flight thi kya?
you could have explained better xD
why Eoc 1 and 2??
Thanks bro
bhai notes share kardo
Thanks
why did bias value become 1 in the second epoch??? please tell
We use b(new) in 2nd case
What if the value of alpha is not given?
You can assume any value between 0 and 1.But for the sake of easy calculations,you can assume its value to be 1.
@@btechtutorialByNishantMittal Tks.. you took delta(w) as alpha*t*x.. but I've seen delta(w) as (target output- actual output)*input.. can you please elaborate as soon as possible?
@@chitralalawat8106 solution for both the methods comes to be same..I have solved and checked
nice....but you are going too fast
Aesa lg rha h aaap khud ko hi smja rhe ho....
Thank you
itni jldi jldi bolte hai yrr kch samjh ni ata. please explain calmly
can you share your notes
Jo padhq rhe ho ...uskq pdf bhi uplaod kr do
Clear nai dikh rha kuch b...
Tnq
ECE 449
Bhai hindi me bhi bola kr yr samjhe ur ache se ayega
tooo fast mannnnnn
Dude Train m chad le fir explain kr aram se ghai nhi h
why you speak in hurry
👎
NOT UNDERSTANDING ANY THING
TRY TO EXPLAIN SLOWLY
bkvassssssssssss
atleast use a better camera🤦🏻♀️