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

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.

emnist-letters classification

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.

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

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

SCRNet is a deep neural network architecture designed to handle compressed and noisy character images signals. Tailored for tasks like character recognition and image signal restoration, SCRNet integrates classification and reconstruction pathways, enhancing performance and robustness through their synergistic interaction

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

A Convolutional Neural Network for EMNIST dataset

Classify the handwritten letters EMNIST

Neural network to classify the EMNIST dataset

Generic image classifiers implemented