# Questions tagged [perceptron]

Perceptron is a basic linear classifier that outputs binary labels.

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### Multilayer Perceptron: What is the value used to update the weights in the hidden layers?

As i understand for the output layer the error rate is used with the mean squared error function to update the weights. For the hidden layers as well? Does that make sense?
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### About different structures of neural network

https://www.mathworks.com/help/deeplearning/ref/fitnet.html is the tutorial that I am following to understand fitting data to a function. I have few doubts regarding structure and terminologies which ...
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### Conceptual questions on MLP and Perceptrons

I am facing some confusion regarding the terminologies assocaiated to classification and regression problems esp. using the MLP and Perceptron models. These are the following: 1) When the data is ...
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### How to find bias for perceptron algorithm?

My question is very basic. I am starting with ML and am working on the perceptron algorithm. I successfully computed the weights for this input data: ...
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### Error while writing perceptron algorithm binary classifier

I am a beginner and I am designing an binary classifier using Perceptron algorithm using FASHION-MNIST dataset. While designing the same I have written the following code: ...
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### (Almost) linearely separable dataset, where can I find one?

I'm implementing the perceptron algorithm and the voted perceptron algorithm for an assignment for university. For that I need to find some decent datasets.. I've tried the UCI repos and I've come up ...
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### neural networks error function: is global minimum desirable?

In "Elements of statistical learning" page 395 the authors state that, relative to R(θ), the regression/classification error function in a neural network such as a multi layer perceptron: Typically ...
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