Perceptron Algorithm for Classification in Python
The Perceptron is a linear machine learning algorithm for binary classification tasks.
It may be considered one of the first and one of the simplest types of artificial neural networks. It is definitely not “deep” learning but is an important building block.
Like logistic regression, it can quickly learn a linear separation in feature space for two-class classification tasks, although unlike logistic regression, it learns using the stochastic gradient descent optimization algorithm and does not predict calibrated probabilities.
In this tutorial, you will discover the Perceptron classification machine learning algorithm.
After completing this tutorial, you will know:
- The Perceptron Classifier is a linear algorithm that can be applied to binary classification tasks.
- How to fit, evaluate, and make predictions