A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
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Updated
Oct 26, 2018 - Python
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.
Handwritten text recognition using CNN with EMNIST dataset
Use Tensorflow Keras to train a image classification model on both MNIST and EMNIST letters.
A small computer vision project in the making. Partners: Minh Quan Huynh and Duc Minh Hoang.
Python scripts for decoding the EMNIST dataset
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]
Pytorch implementation of Generative Adversarial Networks (GAN) for MNIST and EMNIST datasets
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