enter image description here

What I do not understand is that is there only one input for each weights or there is a vector of inputs from 1 to n?

I also dont get the notation for inputs and outputs? Is that a notation or a power operation?


1 Answer 1


The perceptron receives a $n$ number of $m$-dimensional vectors, so, $x^{i} \in \ R^{m}\ \forall\ i \in [1,n]$.

To iterate, the dataset has $n$ different examples and each of which has $m$ dimensions. It's not a power notation, it just denotes the $i$th example.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.