Questions regarding single-layer perceptrons (specifically)
You can ask questions regarding single-layer perceptrons specifically using this tag instead of the neural-networks tag.
Questions tagged [single-layer-perceptron]
7 questions
3
votes
2 answers
Why is it believed that a single-layer perceptron can't solve XOR? Doesn't this example disprove that?
def activation_function(number):
if number%2:
return 1
return 0
weights = [1, 1]
for x in range(2):
for y in range(2):
print(f"{x}, {y} = {activation_function(weights[0] * x + weights[1] * y)}")
Output:
0, 0 = 0
0, 1 = 1
1, 0 = 1
1,…
Jaroslav Tavgen
- 165
- 1
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1
vote
1 answer
How does Linear regression Help Pla?
so I got this question for my Lab:
Q: Show how linear regression for classification can improve pocket algorithm with
PLA.
I thought linear regression was bad for classification? So how can linear regression for classification be used to improve…
diego alamu
- 31
- 1
1
vote
1 answer
What do they mean by "randomly generate data in 2d plane for 2 classes"?
so we got this for our lab, I just need help understanding number 2. When it say generate data in 2D plane is it telling us to only generate input with just 2 characteristics(X and Y co-ord)? Or can can the Input be of N characteristics (X,Y,Z,etc)…
diego alamu
- 31
- 1
1
vote
2 answers
Direct formula for calculating the optimum matrix which minimizes the perceptron error
Suppose we have a perceptron without bias and $f(x) = x$ as activation function and matrices $X,Y,W$ that input training data are columns of matrix $X$, $Y$ is targets matrix (columns are ordered with attention to the related inputs) and $W$ is the…
hasanghaforian
- 113
- 5
1
vote
2 answers
Why this single layer perceptron for the add operation not learning the correct weights?
This might be unnecessary but to learn the basics of neural networks, I am trying to create a single perceptron neural network to solve the adding operation of 2 inputs (x1 + x2 = ybar)
The code is written in C# since the math should be very simple…
EEAH
- 193
- 1
- 5
0
votes
2 answers
Is sklearn using both a threshold and a bias term?
Reading this Can a neuron have both a bias and a threshold? has confused me, as it appears to be more common to use a threshold of 0 when using bias. But reading this…
Leosa99 _
- 11
- 2
0
votes
1 answer
Is my single layer perceptron getting biased input some way or the other?
I was working a little bit on a school project my team and I decided to do for submission in the year-end. It's a small game which I call 'Quattro', and its rules are as follows:
The game is played on an 8 x 8 square grid and each player (both the…
Spectre
- 177
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- 9