The final experiment of machine learning 24, spring in HUST.

Contains basic model for digit recognition using CNN

Numerical Methods: "Handwritten Digit Recognition" Group Project - 2nd Semester 2021 - Computer Science, UBA

Hand Written Digit-recognizer build with Tensorflow and Numpy. The interface for this module is built with Gradio.

Deep Learning project with MNIST dataset to help machines recognizing handwritten digits

A simple Digit Recognizer using the inbuilt dataset in TensorFlow.

MNIST Digit Recognizer from Kaggle

This is a neural network designed to train on the MNIST data set for recognizing handwritten digits.

Simple CNN for recognizing hand written digits

Attention mechanism with MNIST dataset

kaggle比赛—手写数字识别，比赛链接https://www.kaggle.com/c/digit-recognizer

Digit Recognizer Using Convolution Neural Network

Code from https://gogul09.github.io/software/digits-recognition-mlp

An implementation of multiclass perceptron as a digit recognizer

This is digit classifier. In this machine learning project machine will scan an Image and give the corresponding digit from the trained Data Set. The Image should be Black and White. Another project is to predict future of a company based on the dataset provided and using pattern recognition machine learning.

A basic Digit recognizer system tested on MNSIT's database of handwritten digits .

A neural-network based handwritten digit recognition system, coded from scratch.

Trying to build a Neural Network from scratch (no Tensorflow/Pytorch, just numpy & math)

Can recognize the handwriting mostly(only) numbers with accuracy using ML & dataset with GUI to write numbers.

Recognize Digits