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
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Updated
Apr 14, 2018 - Jupyter Notebook
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
➿ Includes Single Neuron Implementation and Single Layer(Multi Neuron) Implementation
Neural Network Lab Task
Facial Expression Recognition
Image-Recognition USING Convolution Neural Networks using JAVA SWINGS
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.
Binary classification using kNN, neighborhood and perceptron from scratch in python. Using the stressed/Not Stressed dataset
Implements neural network models from scratch without any specialized libraries
Neural network models
Single Layer Perceptrons are the fundamental of Neural Networks. They are very effective on linearly separable classes.
Implemented the concepts of Neural networks as a part of my course work during my graduate studies
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.
Language recognition using Perceptrons
Artificial Neural Network Algorithms
This repository contains the python implementations of a few soft computing algorithms.
chronic kidney disease detection using different neural network technique
⏩ This repository contains; very simple implementation of single-layer perceptron structure in several programming languages (educational purposes)
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
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.
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