Training single-layer perceptrons to get the outputs of OR and AND logic gates.

Neural Network Introduction

This repo aims to write a multi layer perceptron using just numpy

AND, OR, Ruspini

Single layered perceptron learning algorithm using logic gates

En estas prácticas se pretende realizar una revisión de los modelos conexionistas clásicos (“modelos neuronales estrechos”) junto con estructuras más avanzadas como son las redes convolucionales.

Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.

Java implementation of a perceptron neural network.

Resolving classifying problems using perceptron

📄 A simple perceptron Implemented using javascript .trainned to detect the color in browser 🎇 💻

This is an example of Neuronal Networks with Backpropagation and others techniques.

ML notebooks

Classified the MNIST dataset using various deep learning models like Perceptron, Multilayer Perceptron and Convolutional Neural Network.

Perceptron Network in Elixir

This is a JavaScript program that simulates an AI agent going to the store, buying items, and heading home. Perceptrons are used to help the agent make decisions in the program.

simple functions for deep learning in numpy interpretebility

Deep Learning study from scratch

MLP - Multi Layer Perceptron