Super Resolution's the images by 3x using CNN

This program uses ML to recognize a handwritten number written anywhere on a blank paper with preferable black ink. Please make sure that the image is of apt resolution.

Recognize Handwritten Digits(persian/english) with Neural Networks

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.

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

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!

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.

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