Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...

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I implemented the gradient descent algorithm for the perceptron, which is designed for NOR binary logic function and uses it to update its weights.

Abstract: Today, people's new way of life leads their eating habits towards fast-foods and ready-to-use products more than before. These foods contain large amounts of sugar and fat, which increase ...

The Perceptron algorithm elegantly solves binary classification problems that have a margin between positive and negative examples. Isotonic regression (fitting an arbitrary increasing function in one ...

Abstract: In this paper ways of optimizing a solution achieved by the perceptron algorithm are investigated. The perceptron algorithm was successfully applied to polynomial inner-product kernels ...