If Ai Is The Input Is The Error N Is The Learning Parameter #75
If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?
This multiple choice question (MCQ) is related to the book/course
gs gs127 SQLite.
It can also be found in
gs gs127 Basics of Artificial Neural Networks - Models - Quiz No.1.
If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?
na(i)
n^
^a(i)
none of the mentioned
