emnist-dataset

Convert typed text to realistic handwriting!

Alphabet recognition using EMNIST dataset for humans ⚓

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Handwriting recoginition program made using CNN in Python.

Teaching a neural network how to write letters and digits with reinforcement learning.

generate arbitrary handwritten letter/digits based on the inputs

This is a simple app to predict the alphabet that is written on the screen using an object of interest.

Digits Recognizer using correlation and similarity methods in MNIST Letters dataset.

Exploring advanced autoencoder architectures for efficient data compression on EMNIST dataset, focusing on high-fidelity image reconstruction with minimal information loss. This project tests various encoder-decoder configurations to optimize performance metrics like MSE, SSIM, and PSNR, aiming to achieve near-lossless data compression.

A Flask web app for handwriting digit and character recognition using machine learning

Project 3 for Artificial Neural Networks

A simple NN word recognizer based on the EMNIST dataset

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

TextToHandwriting tool

Classify the handwritten letters EMNIST

Natural Language Processing Model that can recognise handwritten letters and convert them to typed text.

Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques

Projekti rađeni u programskom jeziku Python. Svi projekti su vezani uz tematiku podatkovne analitike i podatkovne znanosti.

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.