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

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

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

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

MNIST Digit recognition using machine learning techniques

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

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

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

MNIST Digit Recognizer using Keras

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