Handwritten Digit Recognition using Softmax Regression in Python

Recognize Digits

MNIST数据集 手写数字识别 CNN

This project uses TinyVGG and Streamlit to classify handwritten digits.

Implemented various Machine Learning and Deep Learning Algorithms on the famous digit recognition problem using the MNIST (Mixed National Institute of Standards and Technology) database.

A digit recognition canvas where you can draw your own custom digits on the canvas and the program will predict what digit it thinks it is using a neural network.

A linear neural network from scratch using Numpy for training MNIST Dataset

Digit recognition using neural networks(CNN classification technique)

A convolutional neural network model that predicts digits via webcam feed in real-time.

Implementation of classical Machine Learning algorithms for digit recognition on MNIST dataset

My first neural network which is copied off of a sentdex video

Neural Network from Scratch using NumPy (Educational and Framework-Free Implementation)

Using the MNIST Dataset, script for digit recognition using the k-nearest neighbours algorithm

A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are. Feel free to add 28x28 pixel images into the digits directory!

Very simple machine learning project aiming at making the computer recognise handwritten digits.