A perceptron is code that models the behavior of a single biological neuron. Perceptrons are the predecessors of neural networks. A neural network can be thought of as a collection of connected ...

This repository contains Python scripts for implementing two fundamental neural network models from scratch: a simple Perceptron for classification and a Multi-Layer Perceptron (MLP) for regression.

This is my implementation of 2-layer perceptron artificial neural network (1 hidden layer) using only NumPy with Python3.8. The code is adjusted to Python3.8. The algorithm is tested ...

Abstract: This paper presents a hybrid model that combines U-Net and perceptron-based layers for Speech Emotion Recognition (SER). The model focuses on classifying emotions using 2D speech signal ...

Abstract: Based at the quantization of LC circuit, this paper has developed an similar theory for RC circuit but essentially based at a basic scheme of perceptron. Thus, the classical energy of a RC ...

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron (previously ...

PLYMOUTH, MI--(Marketwired - Jan 27, 2014) - Perceptron, Inc. (NASDAQ: PRCP) today announced that C. Richard Neely, Jr., age 59, was appointed as a member of the Company's Board of Directors and as a ...