Super Resolution's the images by 3x using CNN
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Updated
Nov 28, 2017 - Python
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
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.
recognize mouse-written numbers using KNN, Neural Network, and Convolutional Neural Network models
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.
Program in Python to solve sudoku puzzles from images, using TensorFlow (Keras) and Backtracking Algorithms.
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
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