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, ...

In a landmark move for the decentralized AI ecosystem, BlockMesh has officially merged into Perceptron Network, uniting two fast-growing platforms under a single mission – to build the world’s first ...

Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According ...

Abstract: Classification is a popular research area of machine learning. This paper focuses on classification and devotes itself to accelerate the perceptron algorithm, which is a famous ...

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

Perceptron Algorithm implementation in Java. Implementation of Perceptron Algorithm to solve a simple classification problem and show the algorithm limitations, using the logical operations AND, OR ...

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 ...