Python implementation of the simple perceptron or also known as a single-layer neural network, is a binary classification algorithm by Frank Rosenblatt based on the neural model of Warren McCulloch and Walter Pitts developed in 1943.

chronic kidney disease detection using different neural network technique

This repository contains the code to reproduce the results in the paper A Variational algorithm for Quantum Neural Networks, accepted in the International Conference on Computational Science 2020, Quantum Computing track.

This repository contains the code to reproduce the results in the paper "A Variational Algorithm for Quantum Single Layer Perceptron" submitted to The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science

Contains work done mainly on Neural Networks and Machine Learning as a part of my interest for Data Science. The codes are in python and uses TensorFlow for Deep learning

Neural Network Lab Task

Implements neural network models from scratch without any specialized libraries

Important Ml Codes and Concepts(Sorted)

Language recognition using Perceptrons

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

My simple and basic implementation of a perceptron using python

Implementing, describing and testing a single layer perceptron for predicting diabetes

Neural network models

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.