Program in Python to solve sudoku puzzles from images, using TensorFlow (Keras) and Backtracking Algorithms.

Building a deep learning model for recognizing handwritten numbers.

Recognize Handwritten Digits(persian/english) with Neural Networks

PyTorch-MNIST-digit-recognition-model

A collection of open-source, educational MVPs for learning and development. Explore hands-on examples in AI, machine learning, web development, IoT, and more. Designed for students, developers, and educators, this repository encourages experimentation and practical learning. Contributions are welcome!

Hand-written digit recognition neural network written in C

A small example using WPF and ML.Net for training and recognize handwritten numbers using a stylus/pen.

recognize mouse-written numbers using KNN, Neural Network, and Convolutional Neural Network models

I have used a Multi-Layer Perceptron (MLP) neural network to classify handwritten Persian digits dataset. I have plotted the error curve during the training phase. It has been explained what maximum accuracy is achieved. Additionally, I have examined the accuracy of recognizing different digits.

This repository contains a notebook to take you through step by step guide on recognizing handwritten digits using a Multi-Layer-Perceptron(MLP)

Using ML to create a model which would predict/recognize the english alphabet from our own dataset.

Capable of recognizing handwritten digits

After working on a end year project for University, showcasing the better energetic efficiency of Neuromorphic comparing two programs, I've decided to improve my second algorithm. You'll find 3 files of codes : the main programm, the calculation of its accuracy and the test on the MNIST data-base.

تشخیص ارقام فارسی با یادگیری ماشین

Classifying handwritten digits (MNIST) using multi-layer perceptron in PyTorch.

A tutorial which helped me in order to use the model of recognizing handwritten digits with the accuracy increasing each time.

The following repository contains all the code which was used by us for our ITSP project called 'Scribble' at IIT Bombay

Super Resolution's the images by 3x using CNN