mnist-handwriting-recognition topic

An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter

aryashah2k

A resource-conscious neural network implementation for MCUs

GiorgosXou

🎰Handwritten digit recognition application implemented by TensorFlow2 + Keras and Flask.

InnoFang

Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%

ss-is-master-chief

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2...

phreakyphoenix

AWS Fundamentals Specialization Coursera

anubhav199

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Shikhargupta

MNIST of Tibetan handwriting 国产手写藏文MNIST数据集（TibetanMNIST）的图像分类处理与各种好玩的脑洞~

bat67

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

RubixML

Wrote a neural network that uses fundamental DL algorithms to identify handwritten digits from MNIST dataset.

rafi007akhtar