Learning Vector Quantization(LVQ) algorithm with solved example

[@charanpresence1481]

Superb video very well explained but man can you slow down, oh my god Eminem would be proud of you man.

[@infouniverse1728]

Nanri bro...super ah purinchathu.... rompa nanri

[@sohamshinde1258]

nice video, thanks form the student community

[@pranavgangapurkar195]

awesome camera work!!!!!!!!!!!!

[@kuldeepprabhu5474]

Hello sir In the second input vector, your T is equal to J so we will perform the addition. Because J is 1 and T is also 1

[@mistzzz4683]

J is 2 and T is 1. U are confusing with value of D(j). That is only to check winner neuron, the actual comparison is done by value of J

[@totalrandomness1718]

For 2nd input isn't D1 winning cluster? So Target=1=C, so weigh updation should have (+) sign right?

[@gj.elakiyagnanaveljani5044]

no which has the less distance is your winning cluster

[@shabareesharyan]

Yes

[@shabareesharyan]

@@gj.elakiyagnanaveljani5044 he is telling the winning cluster and target value is same so we will follow the first formula for weight updation

[@mohammadkashifgani9977]

Is Target vector given or do we find it somehow ?

[@zaelamaulanaa9293]

good

[@monateja9999]

Good Explanation. And can you please add a video on ART Adaptive Resonance Theory.

[@ESBMThinakaran__S]

Hello sir How can I find the alpha value?

[@aditi_joshi13]

How does the target value was changed to 1 initially it was 2

[@manigandanselvaraj]

i have this same doubt... pls reply ...

[@kunchalavenkatesh3720]

I think the class of the input vector is considered as target

[@aadityanaik1655]

check out the table , the class values are the target values

[@HarshRaj-bm9eg]

great job bro!!!! Keep it up

[@adarshtiwari2445]

Watched video at 0.5 x

[@malfi8929]

agreed , this is so fucking fast

[@silviarubino664]

thank you sir

[@goodmansaul9320]

so clear bro

[@subasissethi9906]

Target kese diya ..kya pehle se assign tha

[@funnywaves8765]

Remaining vectors can be used for training or test vectors? at first step!

[@shabareesharyan]

First two vectors are considered as weights as the number of clusters is 2. The remaining vectors will be used as input vectors (training vector) we are not validating anything so there's no test vector

[@harikumarmuthu8819]

Thanks

[@omerarslan7814]

Brother will you please describe again how you updated W11 and W21... thanks

[@prasadpalkandwar6443]

watch the video again

[@shabareesharyan]

@@prasadpalkandwar6443 lmao

[@rohyithyelchur2404]

bro u did wrong in the target and obtained cluster checking for using the new weight calculation.

[@SaifKhan-mp9vo]

how to calculate the value of alpha

[@srinathsesaya7432]

Thank you

[@maitrigosalia5218]

you could be a little slow and more detailed.

[@lscharan]

Too fast please try to explain it slowly and clearly

[@henriqueoliveira2840]

4:50

[@satyanarayanakoppuravuri161]

here what is alpha?, why its value is 0.1?

[@satyanarayanakoppuravuri161]

Learning rate😅

[@kartikaysaini]

Steps 2 and 3 mei winning index galat le rakha hai..

[@ajr1791ze]

right...

[@shabareesharyan]

Target vector galath liya second vaale mei

[@demetriusdemarcusbartholom8063]

ECE 449 UofA

[@gajuahmed4426]

0.75x :-D

[@samuelsugur383]

bhai tu khud k liye bana raha h video?.

[@samuelsugur383]

Extend video time n add explanation part.

[@mohammedumarhussainshaik8764]

thoda slow bolo na yarooo .....Thoda Detail....

[@msatul1305]

Watch in 0.75x or 0.5x

[@AbdulQayyum-vw8mu]

NZAR TO A NI RHA HAZOOR

[@kamaljha2157]

Lol ...such a waste of time.