ML-workshop

An Artificial Neural Network for image classification (hand written numbers from MINST dataset).

自编码

We will develop a model using Support Vector Machine which should correctly classify the handwritten digits from 0-9 based on the pixel values given as features. Thus, this is a 10-class classification problem.

Minst pratice

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

A repository with my course practice in MGMT590 Machine Learning at Krannert School of Management, Purdue University.

From kaggle learning competition MINST digit recognition.

Handwritten Digit Recognition Using 3-Layer ANN

手写数字数据集的模型训练于识别

Recognises handwritten digit

MINST Full Implementation-With TensorFlow.js API

imitating pytorch

Classification of handwritten digits using MINST dataset

Simple Machine Learning Projects done for a Data Science Course

This repository contains code related to the MINST dataset, which is a large database of handwritten digits commonly used for training various image processing systems.