Training and tuning of SVM kernels using the classic MNIST dataset in R

This repository consists of the Analysis and ML training of the MNIST_Digit_recognizer on kaggle

The popular MNIST dataset is used for the digit recognition task using different machine learning algorithms such as KNN and SVM with HOG features. A simple feed-forward neural network is also used for comparison with the machine learning models. A detailed report in IEEE format is also provided.

Neural networks built from scratch for MNIST digits classification

MNIST Digit recognition using machine learning techniques

SVM, PCA and Neural Network experimentation on the MNIST Digits Database ( http://yann.lecun.com/exdb/mnist/ )

Naive Implementation of PyTorch framework to solve the MNIST-Digit_Recognition Problem

Handwritten Digit Recognition using a simple Neural Network and integrated into a Flask App

MNIST Digit Recognizer using Keras

Implementing handwritten digit recognition on the MNIST dataset using a multi-layer perceptron.