🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Playing with biologically plausible deep learning

Repositorio de prácticas de la materia de Redes Neuronales. Serie de Fibonacci, entrenamiento de una Red de Hamming, entrenamiento de un Perceptrón Simple mediante la regla de aprendizaje, entrenamiento de una Red Adaline sin bias (decodificador binario a decimal), entrenamiento de una red Adaline con bias mediante la regla delta. Implementación…

Train Perceptrons, MLPs, and RBFs by applying Delta rule. This repo is result of our joint work (Ilaha Manafova & I) for the "Technical Neural Networks" course held at the University of Bonn.

Identifying the origin of fish from the growth-ring diameter of scales using Neural Networks

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

Implementation of a multi-layer backpropagating neural network algorithm trained with the generalized delta learning rule

A simple sigmoid activation function-based neural network using the delta rule.

Regressione Lineare su Boston Dataset con l'uso del percettrone