4. Implementation of Self Organizing Map | SOM implementation| Artificial Neural Networks

This video covers the implementation of Self Organizing Map (SOM), a popular unsupervised learning technique used for clustering in artificial neural networks. Self organizing map (SOM) is a good algorithm used in various research problems. This video gives the step by step explanation for the implementation of self organizing map (SOM) neural networks.
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[@dr.krishankumargurukulkang1074]

For any specific video in Neural Networks kindly let me know the topic so that I could made it for you.

[@waytocrackbysagar2613]

Thanks sir for this lecture
Tomorrow is my semester exam 😊

[@Sandhyapbt14]

Thanks

[@examvidya2192]

Thanks Sir

[@pradeepkandula2458]

Sir your explanation is good. But due to lot of background noise some of your words are not clear. If possible explain Gaussian neighborhood function also.

[@dr.krishankumargurukulkang1074]

Thanks for your concern. I will take care.

[@2megee867]

How go get the similarity score

[@akshitbhalla874]

Can you please explain "neighbourhood" as well?

[@dr.krishankumargurukulkang1074]

Okay I will explain soon in its complete SOM algorithm

[@akshitbhalla874]

@@dr.krishankumargurukulkang1074 Thank You Sir. Eagerly waiting.

[@-MuhamadFahmiAmmar]

thanks sir, do you have a blog sir? i will learn more on there. And when the input value is more than one, i have some problem, the winning cluster are not have variety, only one cluster on this epoch. please help me.