A Convolutional Neural Network model created using PyTorch library over the MNIST dataset to recognize handwritten digits .
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Updated
Jan 3, 2021 - Python
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.
The C++ neural network for handwritten digit recognition with online demo
a Java project to classify images of digits
Recognizes handwritten digits using Keras and convnets
This task of digit recognition is done using Hidden Markov Model using Speech signal as input. This model is written in C++ and is trained on custom-recorded digit dataset.
Digit recognition using Tensorflow.js
MNIST Digit Recognition repository offers a robust solution for recognizing handwritten digits using the MNIST dataset.
In this Kaggle competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.
Reconocedor de Dígitos trazados con el mouse
This script performs digit recognition by comparing an input image to a precomputed average and the digits dataset using Euclidean distance. The predicted digit is output, and results are saved to CSV files.
Program that detects digit like a human brain with layers of neurons.(Not machine learning)
This repository contains a PyTorch-based model for handwritten digit recognition using the MNIST dataset.
This source loads images from file system and train the classifier.
Uma interface que permite desenhar um digito e que reconhece o digito utilizando um algoritmo de machine learning.
digitRecognition
Mouse drawn live Digit Recognizer using Keras CNN and cv2 canvas
A simple digit recognition project with MNIST dataset using Artifical Neural Networks.
Classification algorithms to identify images by their bitmaps
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