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 text recognition using CNN with EMNIST dataset
Handwritten character recognition on EMNIST ByClass using Convolutional Neural Networks with PyTorch.
Use Tensorflow Keras to train a image classification model on both MNIST and EMNIST letters.
Handwritten Character Recognition. EMNIST dataset on Kaggle. Tensorflow2 - Keras - CNN - 0.85 evaluation.
A small computer vision project in the making. Partners: Minh Quan Huynh and Duc Minh Hoang.
Python scripts for decoding the EMNIST dataset
A web app for recognizing handwritten characters and digits.
A neural network project written in Rust.
Teaching a neural network how to write letters and digits with reinforcement learning.
emnist example (0-9 and a-z and A-Z - 28x28) [kotlin + gradle support]
Handwriting Digit & Character Recognition (Flask + TensorFlow)
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