An early example of neural network without any hidden layers and with a single (possibly nonlinear) output unit.
Questions tagged [perceptron]
163 questions
3
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2 answers
How to find multi-layer perceptron weights?
I want to use a multi-layer perceptron to design the following function :
The architecture I want to use is the following one :
What would be $w_i$ weights ? Is there any guide to find them ?
I tried the following, guessing with $\forall…
1
vote
1 answer
Perceptron as a Logistic Regression
If by following way single perceptron is made to work like Logistic Regression.
How much correct is it to say that I made perceptron to work as Logistic Regression.
Question came to mind as activation function of perceptron is a step function and…
Ajey
- 175
1
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0 answers
How are the weights of a single layer perceptron updated given the misclassification of a point?
Here is some data separated by decision line
The equation of decision line/boundary is $x_1 -3x_2 + 3 = 0$. Therefore $w_1 = 1, w_2 = -3$ and, if $w_0 = -1$, then the bias $\theta = -3$.
Now, I have a question which states that the point $P = (2,…
1
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1 answer
Is Perceptron a data-structure or an algorithm or both?
I found Perceptron in the discussions of (overlapping of disciplines is acknowledged):
Neural Network
Machine Learning
Data Mining, Pattern Recognition
Genetic Algorithm
In the discussion of Neural Network, it is defined as:
Perceptron is a…
user366312
- 2,090
0
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2 answers
No error in the training/validation dataset
Suppose I have a linearly separable dataset, divide into training and validation sets. Will a perceptron learned on the training dataset be guaranteed to have no error on the training dataset and on the validation dataset?
Marcos
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- 1
0
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1 answer
Perceptron Learning Algorithm
Is it possible to draw a hyperplane/decision boundary (not a decision function) from the parameters learned in PLA. If so how is this done (code would be ideal, if available). If not why?
0
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2 answers
Update weight vector regardless of correctness for perceptron algorithm
For the perceptron algorithm, what will happen if I update weight vector for both correct and wrong prediction instead of just for wrong predictions? What will be the plot of number of wrong predictions look like w.r.t. number of passes? The…
ZigZagZebra
- 101