Questions tagged [perceptron]

Perceptron is a basic linear classifier that outputs binary labels.

Perceptron is a basic linear classifier that outputs binary labels. If the training data set is not linear separable, the learning algorithm cannot converge.

A classical problem of XOR is a dataset that is not linear separable. A perceptron does not work in this case. By adding nonlinear layers between the input and output, one can separate all data. With enough training data, the resulting network is able to model any well-defined function to arbitrary precision. This model is a generalization known as a multilayer perceptron.

For more details about , see wiki.

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Single Layer Perceptron Error while optimizing and minimising cost using Tensorflow

I thought to execute single layer perceptron concept using tensorflow. The input, excepted output, weights and bias all are defined in proper way. But while running the program the error is throwing during Optimization and Minimizing the Cost. Here…
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how to make pseudocode of perceptron in python?

This code was written in python 3, could you tell me what your pseudocode would look like? I can not understand the calculations that are being made: #dobro n * 2 # x * weight import random import numpy as np def derivada(n): return…
Guilherme
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Using neural networks (MLP) for estimation

Im new with NN and i have this problem: I have a dataset with 300 rows and 33 columns. Each row has 3 more columns for the results. Im trying to use MLP for trainning a model so that when i have a new row, it estimates those 3 result columns. I can…
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why weight is changing regarding perceptron nn?

I am new to neuoro network, I am recently tried with neuro network perceptron, I have two basic questions 1) It looks like the weight of the netowork gets changed each time I run. 2) I want to simulate a simple AND, and here is the weight I…
Adam Lee
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Interpreting internal features of Multiplayer Perceptrons

I've trained a multiplayer perceptron on a medical imaging classification task (classifying whether an ultrasound scanning image belongs to the healthy or disease condition). The network consists of 2 fully connected hidden layers and 1 output unit.…
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Perceptron - get function

I'm programming a simple one layered perceptron. For example, I have 3 neurons at the first layer, 2 at the second, and 2 at the output layer. I have to solve a binary classification problem. This way I have 10 weights. But I want to visualize the…
Rahul
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Perceptron code explanation

What is going on in the following code? function [ errors sepplane ] = perceptron ( pclass , nclass) sepplane = rand ( 1 , columns ( pclass ) + 1 ) - 0.5; tset = [ ones ( rows ( pclass ), 1 ) pclass ; - ones ( rows ( nclass…
user366312
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How to predict temperature for the 4th day, given temperatures for previous days, using a linear perceptron?

I have four sets of data (3 for training, 1 for testing) that include the hour of the day and temperatures in this format: Time | Temperature 5, 60 6, 63 7,70 8,73 9,78 10,81.5 11,85.1 12,87 13,90 I need to train and test a perceptron and then…
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Perceptron Learning - Input Intuition in Weight Update

I've been trying to teach myself how to create perceptrons, and I'm mostly following quite well. The only issue I have encountered so far is understanding what the intuition behind the presence of the input is in the weight update of a…
MemoNick
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run perceptron algorithm on a hash map feature vecteur: java

I have the following code, it reads in many files from a directory into a hash map, this is my feature vecteur. It's somewhat naive in the sense that it does no stemming but that's not my primary concern right now. I want to know how I can use this…
smatthewenglish
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Perceptron fitting error (UFuncTypeError)

I try to fit the iris dataset with this Perceptron class but I got an error in fitting Jupyter notebook snapshot for the .ipynb file: https://mega.nz/file/m25R2QZb#21OKd7DTASEmOymuFcOiOQwZaf8fhMzHLeQc8XzyKUI Anybody know how to avoid this error,…
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How to calculate in_features for every layer in multilayer perceptron?

What ratio between in_features of different layers is appropriate? Should it be integer? For example, it is a part of the fully connected network for solving CIFAR10: self.fc1 = nn.Linear(32*32*3, 256) self.bn1 = nn.BatchNorm1d(256) self.fc2 =…
Victoria
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How can i differentiate neuron from perceptron?

Conceptually, people talk both are different. There has been a confusion still. Let me summarize what i understood, please educate me. There is a tiny differentiating factor between these two. 1) A tiny change in the weight/bias of a particular…
DrunkenMaster
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Hyperplane in perceptrons

What is Hyperplane in the discussion of neural networks and Perceptrons? The following perceptron is implemented using Hyperplane. perceptron_minin.m(Octave) function [errors, sepplane ] = perceptron_minin ( pclass , nclass) sepplane = rand ( 1…
user366312
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Perceptron learning algorithm

I would like to interpret problem on picture below, which is about perceptron learning. It is about supervised learning wiht a training set, so correctness of values should be checked against a predefined set of values. I don't exactly know, how A,…
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