All Questions
Tagged with perceptron linear
5 questions
4
votes
2
answers
3k
views
Can non-linearly separable data always be made linearly separable?
A data set that is linearly separable is a precondition for algorithms like the perceptron to converge. It's well-known that we can project low-dimensional data to a higher dimension using kernel ...
- 141
2
votes
1
answer
885
views
Why the weight vector is a linear combination of the inputs and the outputs in the Perceptron
I was studying Support Vector Machines and I've got stuck with this relation regarding the weight vector of the hyperplane.
$w=\sum\limits_{i\in I}^{} y_i x_i$
For reference, I'm studying from the ...
- 45
5
votes
2
answers
3k
views
Why perceptron is linear classifier?
It is said that perceptron is linear classifier, but it has a non-linear activation function f = 1 if wx - b >= 0 and f = 0 otherwise
If i will use some non-linear function on linear combination of ...
- 71
0
votes
1
answer
40
views
Are B&W images of digits linear seperable
Given an image, expressed in the vector $\vec{v} = (v_1, \dots, v_n)\in \{0,1\}^n$
The vector $\vec{v}$ can represent images of the numbers 0 to 9. How do I know if this is linear seperable? Given ...
- 101
2
votes
1
answer
2k
views
Is the decision boundary of voted/average perceptron linear like basic perceptron?
Is the decision boundary of voted/average perceptron linear like basic perceptron? How can you justify that?
It's related to solve binary classification problems in Machine Learning context.
