MNIST Digit Classifier using different models and methods.

Deep Learning project with MNIST dataset to help machines recognizing handwritten digits

Train an neural network to identify digits written on a canvas

MNIST Digit Recognition Using Scikit-Learn and Ensemble Learning and Then Make an Web-App Using Flask.

A digit classifier built using the logistic regression cv learning algorithm.

A handwritten digit classifier application with python, java, klotin and tensorflow dependencies

A Machine Learning project that uses EM and Bernoulli mixes to classify digits

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

A digit-classifier using CNN

In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize

It is a Python GUI in which you can draw a digit and the ML Algorithm will recognize what digit it is. We have used Mnist dataset

MATLAB digit classifier based on Andrew NG course

Real time digit classifier using python and Deep neural network.

Machine learner to classify a single handwritten digit on an image.

A simple digit classifier built using the MNIST dataset

An implementation showcasing the deployment of machine learning model onto the flask server with live demo deployed on AWS Lambda.

Sample android application to detect digit drawn using TensorFlow & Firebase model.

An implementation of multiclass perceptron as a digit recognizer

Training different models to solve the MNIST digit dataset