Bi-Directional Autoassociative Memory Network(BAM) Algorithm with Solved Example

[@tejaswiniprusty6892]

Thnx broo for this vd, tomorrow is my exam and it's really helpfull for me

[@emreparlak2729]

That was a very helpful video, thank you. But i would like to see a 0 example for output vector, because in that case i dont know what y value should i use

[@bazinga-i]

bro, try making videos with atleast of 10 mins which for now wont affect anything but in future when adds will be running, you will earn more, if your video length is more than 10 mins. And welcome to the community:)

[@rahulsaxena5015]

Love you sir. From 7th floor, new hostel, IIIT Bhubaneswar

[@bkmeher9005]

😂😂😂😂😂😂

[@張青-d8c]

really helpful。you are a really good teacher!!!

[@rohyithyelchur2404]

i dont get it , you said if it has bipolar inputs then the training is summation of s(p)*t(p) in the beginning and in the sum u did summation of s transpose(p)*t(p)..

[@prudhvicharan8852]

Explained very well....✌️✌️

[@aashishdulal6938]

Wonderful. HIGHLY APPRICIATED!!!!

[@vaibhavsarje]

What about if response is incorrect? What method to be use to correct it?

[@abhishekdutta155]

Hetero associative, Auto Associative, bi-directional associative nets, etc. produce the output of the stored pattern which closely resembles the input you give. So, if some incorrect input is given it can result in the closest possible pattern.

[@beAnmolKaushal]

Excellent videos Sir!

[@ashadahmad651]

great explanation but i think you forgot to write t for transpose in the algo you showed

[@iravisingh]

Please make video on least mean square algorithm

[@abhishekpatel5204]

superb

[@rahuljadav1097]

Thank you so much

[@nishanisha6263]

What if it does not match with the target??please reply

[@shivanisangwan3746]

Thank u very much😊.....very helpful

[@tejaspednekar1412]

How is it auto associative if target and input both are different???

[@ganggadhewa1438]

are you determined the target value?what if we don't know the target value?thank you

[@nikronic]

What are the weight updating rules if model failed to converge? On paper, you wrote repeat steps till get equilbirium but when we do not change weights, nothing wil change in output or input. My next queston is, let say we iterate 2 times, for the third time in backward, do we use Yij we obtained from step 2 or still target value for corresponding Xij?

[@ajayaadhav]

what about continuous BAM

[@sahithiramyamagapu993]

Thank you!!

[@milindpandey5834]

Nice 🔥💪

[@allenbastian1232]

Thk u bro

[@devaryan2201]

Bro u r just 💞💞💪💪💪💪💥💥💥💥💥💥💥💥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥

[@محمدقيسحسينفوزي]

Thanx

[@vinczerobert1472]

Can someone explain me please what happens if the net input for a given index is 0? I am trying my best but I really don't get it

[@amritha67]

🎉

[@mohammadyasen3346]

Thx bro ♥️

[@ankitlaller4582]

can you also share your notes....?

[@vkdkdkeiedk]

bhai tum se na ho payega

[@parikshit804]

bhuvan BAM