NumPy-based feed-forward neural network

An implementation of the MNIST neural network for use in backend ML systems.

This repository includes a study that aims to apply classification on well-known MNIST dataset. Detailed info in ReadMe

MNIST Classification with Convolutional Neural Networks

Performing Handwritten Digit Classification on MNIST dataset using PyTorch-Lightning

Handwritten Digit Recognition by MNIST

MNIST Classifier using LeNet-5 Architecture

A simple handwritten digit classifier NN implemented from scratch in C++.

"Quantum-Inspired MNIST" achieved 72% accuracy using nothing but means, addition, and subtraction. This experiment adds standard deviations.

Inspired by quantum classification, this is MNIST with no models, no weights, no activation functions, no optimizers, nor anything else that resembles traditional MNIST implementations.

Quantum MNIST using amplitude encoding instead of dimensionality reduction.

Digit Recognizer - Convolutional Neural Network trained with mnist model using matplotlib - Duke University Class

An MNIST dataset classifier implemented from scratch in NumPy.

Epoch introduction to neural networks intersession, SY2021

Test project for neural networks - Handwritten digit recognition on MNIST dataset

This repo hold CV models for the Classification of single digit images. I used Pytorch and the Digit-Recognizer kaggle dataset for the training.

MNIST handwritten digit classification using PyTorch

All my machine learning projects and tests.