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
This project encompasses a series of modules designed to facilitate the creation, training, and prediction using a PyTorch MLP Neural Network for digit classification based on the MNIST dataset.
Machine learner to classify a single handwritten digit on an image.
An implementation of multiclass perceptron as a digit recognizer
A digit-classifier using CNN
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
In this project, I use Keras and TensorFlow to classify digits and python's Tkinter library to visualize
Deep Learning project with MNIST dataset to help machines recognizing handwritten digits
An implementation of a multilayer perceptron in python using numpy. Trained to achieve 96.14% on the MNIST dataset
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