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!

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

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.

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