Perceptron neural network-1 with solved example

[@gauravupadhyay1283]

Best one... In all I have ever searched.

[@Adx_.12]

Your teaching is really helpful...you save my marks in neural model...thank you❤

[@eisenergy]

Cleared all my doubt , now I can implement jarvis too.

[@chinnuvenkat9884]

Best video for perceptron

[@mohammedarbas7069]

Thankyou so much, video help lot while preparing for exam

[@amishmishra761]

loved it

[@supriyoghosh9386]

Why so much hurry bro... Have to saw the whole video in 0.5 playback speed And great teaching😂👍👍

[@jishudohare9141]

Awesome Video cleared all doubts.

[@tarangsharma2650]

very well explained

[@rajendraprasad5322]

good explanation

[@habibkamran8]

why in so much hurry?

[@StreetArtist360]

She wants you to fail. hahahahaha

[@arnabiswas777]

Because he knew we will watch this video before 5 min of exam😂😂😂

[@Saini_Deepak121]

🤣🤣🤣

[@shambhavitripathi4925]

THANK YOU SO MUCH...🙏

[@heartborne123]

were you running out of battery?

[@vardeep277]

Itni kya jaldi thi bhai

[@shahzaibchoudary5493]

smjaya acha is ne par lagta bhai ko zooooor se shu shu aya hy :D

[@artikumari-es6ep]

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

[@seemapathak8311]

good explanation. can you plz tell when to stop. what did you mean by final answer.

[@vamsimohan5369]

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.

[@hannanbaig7888]

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?

[@anudeep.20]

because those are the input values. You change only weights but not inputs.

[@bhaviyachopra9948]

Bro great work done but always try to explain from scatch and easily

[@bhootuncle3269]

Best explanation but please improve video quality

[@sunitapakhrin1305]

Watch in 0.75 x

[@00pium99]

same

[@yeeeeetcode]

THE BEST!

[@sowmyasree8162]

Thank you very much 😊

[@voiceofssuet]

kindly tell me value of bias for 1,2,3,4 inputs for calculation yin. why we take zero value in 1st input?

[@bhavikprajapati2614]

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).

[@rahul.jadav1]

thank you so much

[@funnyvideo9671]

Express train jaise kyu padha rahe ho... Ekadam bakwas laga... Tum aaisa samjho ke hame loogo ko kuch nahi aata

[@nithyasha9219]

u can always reduce the speed right. He probably wants to cover it in a particular time frame :)

[@aayushshrestha1655]

@@nithyasha9219 true that.

[@prateekganguly9285]

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

[@clementtom8817]

It is the delta rule.

[@Ani3479]

Good one Sir! 👌

[@kashyapsantoki4889]

make more video with more examples

[@karuneshx4390]

Thanks bro

[@iqraghazal3189]

how is b value changing?

[@vinitraj6268]

Final table me last row mein -3 k baad -1 hoga..naa ki 1

[@mrkunalgoswami2010]

Then what we will call .... After how many epoch do error converge ?

[@00pium99]

woah slow down boa!!!

[@purbapal2144]

Thanks

[@VivekYadav-uv9wc]

Can you provide pdf of your notes?

[@lalitbarai]

Clear the concept but not in hurry!!!

[@saurabhmiskin6254]

how many epoch are compulsory for solving the numerical?

[@lokeshkola2073]

untill you find new weight pattern same..you can carry on calculating epocs

[@manalkhan8357]

What is epoch 1 & 2

[@srinathsesaya7432]

Thank you

[@nishakhubchandani8851]

Is it compulsory to assume theta as 0 ? For all gates theta will be zero or only for AND gate?

[@btechtutorialByNishantMittal]

Yes to make calculations easy you should assume theta as 0. Not only for AND gate, but for whatever question is concerned.

[@Artist_Sir]

Lots of doubts like how many epoch and what are the applications of algorithm

[@فاطمةعليخضير]

What is the Learning solution to a problem ? Pleas can u solve this q

[@raushanraj6054]

Bhai kis bat ki jaldi hai morning flight thi kya? you could have explained better xD

[@devaryan2201]

Bhai har ek case m bias ki values kha s pta krte ho???

[@devaryan2201]

Aur weights ki bhi

[@it_se_40_sudesh_rajad66]

nice....but you are going too fast

[@nidhidilesh3122]

why did bias value become 1 in the second epoch??? please tell

[@vm2113]

We use b(new) in 2nd case

[@yashbajaj8012]

bhai notes share kardo

[@richardrajan5336]

Tnq

[@jnandeepdevsarma2966]

why Eoc 1 and 2??

[@chitralalawat8106]

What if the value of alpha is not given?

[@btechtutorialByNishantMittal]

You can assume any value between 0 and 1.But for the sake of easy calculations,you can assume its value to be 1.

[@chitralalawat8106]

@@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?

[@amitjagtap795]

@@chitralalawat8106 solution for both the methods comes to be same..I have solved and checked

[@bhavnakumrawat7195]

Aesa lg rha h aaap khud ko hi smja rhe ho....

[@harmeetparashar1887]

what's the hurry???

[@ShivamVerma-zi9xv]

itni jldi jldi bolte hai yrr kch samjh ni ata. please explain calmly

[@FunForestFood]

Jo padhq rhe ho ...uskq pdf bhi uplaod kr do

[@demetriusdemarcusbartholom8063]

ECE 449

[@rickyraina8266]

Bhai hindi me bhi bola kr yr samjhe ur ache se ayega

[@rohanmukhija3547]

can you share your notes

[@mohdfasi1624]

tooo fast mannnnnn

[@locagagarin]

why you speak in hurry

[@dikshitathakur484]

Clear nai dikh rha kuch b...

[@dreadedwiper6098]

👎

[@bhavishkukreja1672]

Dude Train m chad le fir explain kr aram se ghai nhi h

[@KalyaniTalks]

bkvassssssssssss

[@Xavier12329]

NOT UNDERSTANDING ANY THING TRY TO EXPLAIN SLOWLY

[@milishah4925]

atleast use a better camera🤦🏻‍♀️