Alphabet recognition using EMNIST dataset for humans ⚓

Handwritten Character Recognition. EMNIST dataset on Kaggle. Tensorflow2 - Keras - CNN - 0.85 evaluation.

Handwritten Alphabet & Digit Recognition Web Application

Classify the handwritten letters EMNIST

emnist-letters classification

Homework for the advanced neural networks course

2020/2021 sem 2 - Neural Network Individual Assignment Project - EMNIST prediction - Predict and evaluate the output of model trained using multiple MLP model created by using the EMNIST datasets.

Evaluating the accuracy with different CNN kernel sizes for the EMNIST Balanced dataset

This Repo contains "Handwritten Digit and Character Recognition Using EMNIST" Notebook, Using Python (Pytorch)

Generic image classifiers implemented

Repositorio de la asignatura Inteligencia de Negocio cursada en la UGR. curso 2020-21

A Convolutional Neural Network for EMNIST dataset

A deep learning model deployed as a web app to classify handwritten digits and letters using the EMNIST dataset

Implementation of a simple artificial neural network in the form of a perceptron, which can be trained on an open dataset and perform recognition of 26 handwritten letters of the Latin alphabet.