Important Ml Codes and Concepts(Sorted)

Criação de perceptron para classificar dados da base Iris. Projeto criado para a disciplina de Computação bioinspirada

NeuralNetwork Language is a console application that uses a single-layer neural network to identify the language of a given text. It trains on data in the trainData folder and predicts the language of texts in the testData folder or manually inputted text. The application supports multiple languages as long as they are correctly labeled.

Image-Recognition USING Convolution Neural Networks using JAVA SWINGS

Implemented the concepts of Neural networks as a part of my course work during my graduate studies

Single Layer Perceptrons are the fundamental of Neural Networks. They are very effective on linearly separable classes.

Single Layer Perceptrons (SLPs) and Multi-Layer Perceptrons (MLPs) from scratch, only with numpy, for classification and regression. MLPs with Keras for time-series prediction.

This repository contains the python implementations of a few soft computing algorithms.

Single Layer Perceptron implementation

[RU] Обучение однослойного перцептрона дельта-правилом. [EN] Training of a single-layer perceptron by the delta rule.

⏩ This repository contains; very simple implementation of single-layer perceptron structure in several programming languages (educational purposes)

Binary classification of datapoints using Single Layer Perceptron (SLP) algorithm

Neural Network Lab Task

Implements neural network models from scratch without any specialized libraries

All projects done for CAP6615- NEURAL NETWORKS at UF

Lab tasks for the 7th semester, Neural Networks (SCO 411) course

Facial Expression Recognition

This is SLP and Backpropogation Implementation from Scratch using Python