1. Gradient Descent | Delta Rule | Delta Rule Derivation Nonlinearly Separable Data by Mahesh Huddar

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1. Gradient Descent and Delta Rule, Derivation of Delta Rule, Linealry and Non-linearly Separable Data by Mahesh Huddar

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we want back propogation algorithm...and sampling theory as soon as possible ur explaination is excellent

ayesha
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Thank you was fun and very good explaination <3

manishdas
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Thank you very much. You helped me a lot

muhannedmtd
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using the delta rule, find the weights required to perform following classifications: vectors (1, 1, -1, -1) and (-1, -1, -1, -1) are belong class (target value +1); vectors (1, 1, 1. 1) and (-1, -1, 1, -1) are not belonging to the class (target value -1). use a learning rate of value of weights. (perform the training for 2 epochs).
answer please

pravallikapravs
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Sir im not getng d back propagation algorithm video of urs
Plz can u help me in getng it...

nagavenik