digitRecognition

Digit recognition using Tensorflow.js

In this Kaggle competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.

This source loads images from file system and train the classifier.

Digits Recognize with Drawing(HTML Canvas). The Machine Learning Model can recognize any Handwritten Digit.

Machine learning program that detects handwritten digits trained using MNIST dataset

Uma interface que permite desenhar um digito e que reconhece o digito utilizando um algoritmo de machine learning.

Recognizes handwritten digits using Keras and convnets

SVM Digit Recognition

A Convolutional Neural Network model created using PyTorch library over the MNIST dataset to recognize handwritten digits .

This is a project to solve SUDOKU using Computer Vision in python. Digit recognition model is trained on MNIST with accuracy>95%. Learned Machine Learning and Computer vision and implemented the concepts in this project.

Classification algorithms to identify images by their bitmaps

Program that detects digit like a human brain with layers of neurons.(Not machine learning)

Digit recognizer with 97.5% accuracy according to the Kagle scoring. I used different algorithms like; SVM, KNN, and Decision Tree

Implementation of MobileNet-V3 with pytorch and tested with Kaggle MNIST dataset

Image Recognition Using both methods convolutional neural Networks (CNN) and Artificial Neural Networks (ANN) to check how well both model perform

The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with many different flavors. The handwritten digit recognition is the solution to this problem which uses the image of a digit and recognizes the digit p…

a Java project to classify images of digits