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

Good explanation

really sir you are too good . 👍👍

Thank you was fun and very good explaination <3

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

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

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

Thank you very much. You helped me a lot

I wish you were my ML sir🥺🥺🥺

👍👍👍