Recognize Handwritten Digits(persian/english) with Neural Networks
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Updated
Feb 2, 2019 - Python
Recognize Handwritten Digits(persian/english) with Neural Networks
A small example using WPF and ML.Net for training and recognize handwritten numbers using a stylus/pen.
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
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.
Building a deep learning model for recognizing handwritten numbers.
A tutorial which helped me in order to use the model of recognizing handwritten digits with the accuracy increasing each time.
Classifying handwritten digits (MNIST) using multi-layer perceptron in PyTorch.
code recognition persian handwritten
Program in Python to solve sudoku puzzles from images, using TensorFlow (Keras) and Backtracking Algorithms.
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
This uses the Rust-NN, compiled to WASM, to recognize digits on frontend, without sending the data to backend.
A Neural Network implemented from scratch as per http://neuralnetworksanddeeplearning.com/ in Rust. This is then trained on MNIST. This is also used in Rust-NN-Web project to compile to WASM and recognize digits.
Super Resolution's the images by 3x using CNN
Neural network that reads handwritten numbers.
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