Thank you very much for this clear explanation, truly appreciate your efforts. I believe that D2 should be 0.16 .So, the winner neuron is D1. I hope you keep uploading such informative videos.
Do you know why didnt we take updated values of weights when we were calculating dist wrt to x2 points. We should have taken 0.28 and 0,48 instead of 0.3 and 0.5
@@dikshatripathi3425 (b) For the input vector x1 , x2 = (0.6,0.6) and α = 0.1, the initialised weight matrix we take as same for part (a) . This is the question actually so we taking the original weight matrix
Thank you very much for this clear explanation, truly appreciate your efforts. I believe that D2 should be 0.16 .So, the winner neuron is D1.
I hope you keep uploading such informative videos.
Do you know why didnt we take updated values of weights when we were calculating dist wrt to x2 points. We should have taken 0.28 and 0,48 instead of 0.3 and 0.5
Yeah you're right!
@@dikshatripathi3425 (b) For the input vector x1 , x2 = (0.6,0.6) and α = 0.1, the
initialised weight matrix we take as same for part (a) . This is the question actually so we taking the original weight matrix
@@nitishb2003 I think so too
Yes, thanks for the clarification.👍