A Simple application to recongize digit using Tenorflow.js in Node.js

Keras MNIST dataset predict handwritten digits from web url, local pc or from passing an argument. With Graphical Representation using Matplotlib.

Codes of Deep Learning Models

Using Deep Learning in the form of a Convolutional Neural Network (CNN) to classify images of different digits!

A machine learning program that lets you draw a digit and recognises it with high accuracy. This uses Convolutional Neural Networks.

The MNIST database of handwritten digits, available from (http://yann.lecun.com/exdb/mnist/), has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.<br> It is a good database for people who want to try l…

Library For Classifying the MNIST Dataset

A neural network that recognizes handwritten digits from 0-9 based on the MNIST dataset.

The "Hello World of Machine Learning", handwritten digit recognition using MNIST dataset

In this repository, I'm going to learn pytorch through Mnist problem.

A from-scratch basic backpropagation neural network implemented in C#.

MNIST data classification with logistic regression (from scratch), deep neural network, SVM and random forest (using scikit-learn)

Neural Network Applications

Detector using MNIST/Fashion-MNIST Dataset

A simple digit recognizer.