digit-classifier

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 implements a CNN for handwritten digit classification on the MNIST dataset using PyTorch. It uses stacked convolutional layers with dropout, batch normalization, and max pooling to classify 28×28 grayscale digits (0–9) with Softmax output.

Neuromorphic Spiking Neural Network (SNN) digit classifier built using PyTorch, snnTorch, and Streamlit. Simulates Leaky Integrate-and-Fire (LIF) neuron dynamics with interactive canvas drawing and real-time spike raster plots.

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

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.

An implementation of multiclass perceptron as a digit recognizer

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

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

An implementation of a multilayer perceptron in python using numpy. Trained to achieve 96.14% on the MNIST dataset