Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Abstract: Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities.
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: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
Welcome to an exciting hands-on exploration of neural networks! This repository traces the evolution of artificial intelligence from the humble perceptron of the 1950s to today's powerful large ...
Abstract: Modern data collection processes and applications provide the ability to gather detailed spending patterns of large numbers of consumers. Additionally, modern on-line marketing programs ...
I implemented the gradient descent algorithm for the perceptron, which is designed for NOR binary logic function and uses it to update its weights.
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