A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

A Machine Learning classifier for recognizing the digits for humans 🎰

RealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.

Using OpenCV in python to recognize digits in a scanned page of handwritten digits.

Recognition of sequence of digits using tensorflow

Attention mechanism with MNIST dataset

Recognize handwritten digits using back-propagation algorithm on MNIST data-set

Training an ANN and a CNN to recognize handwritten digits using back-propagation algorithm on MNIST data-set

Handwritten Digit Recognition using Softmax Regression in Python

Persian Handwriting Digit Recognition

Bunch of Computer Vision Projects

Flask Blueprint & RESTful application with various image classification models.

Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection

Digits and Capital Alphabets recognition using cnn with tensorflow

A program where you can draw something without a keyboard or a mouse. It does not end here, it will give a random integer to draw, the Neural Network will predict the digit that you drew. The whole program works like a game.

Built using Keras, Tensorflow and Tkinter (GUI) libraries in Python

An automated data collection system that can read sintering data on the meter by a single camera

This project is a handwriting recognition system using a convolutional neural network (CNN) based on TensorFlow and Keras. It can recognise handwritten digits and also allows users to draw digits on a canvas for real-time recognition.

Recognize Digits

Hand-Drawn Digit Recognition with Keras & Flask