A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Alphabet recognition using EMNIST dataset for humans ⚓

Software to recognize handwriting

Classify EMNIST Digits using Convolutional Neural Networks

emnist pytorch LeNet CNN gpu

Get 99.13% test accuracy MNIST with only 300 lines of code CNN by JAVA

A comparison of RCN/CNN/SVM/KNN on EMNIST-letters dataset

CNN and Contrastive Autoencoder (CAE) on EMNIST using Tensorflow

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

Use Tensorflow Keras to train a image classification model on both MNIST and EMNIST letters.

Handwritten text recognition using CNN with EMNIST dataset

CRNN/LPRNet/STNet + CTC + CCPD

A small computer vision project in the making. Partners: Minh Quan Huynh and Duc Minh Hoang.

Python scripts for decoding the EMNIST dataset

EMNIST with Keras

A neural network project written in Rust.

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

A web app for recognizing handwritten characters and digits.

Handwritten character recognition on EMNIST ByClass using Convolutional Neural Networks with PyTorch.

emnist example (0-9 and a-z and A-Z - 28x28) [kotlin + gradle support]