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.

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Explore the world of Artificial Intelligence with these Java projects! Implement the Perceptron, DFS for puzzles, and Genetic Algorithm from scratch without ML libraries. Solve classic problems and ...

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: A Multilayer Perceptron (MLP) is a machine learning algorithm capable of classifying large amounts of data and finding patterns in complex datasets. In this ...

Abstract: In linear space, the classical perceptron algorithm is simple and practical. But when concerning the nonlinear space it is severely confined mainly on its signal layer structure. This paper ...