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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Spiral Galaxy Classification
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By: Persistent Systems Latest Version: 0.1

Product Overview

The classification of the galaxy is vital for studying the formation of galaxies and evaluation of our universe. Galaxy morphological classification is a framework (devised by Edwin Hubble) that divides galaxies into groups based on their visual appearance such as elliptical galaxies, spiral galaxies and irregular ones. Furthermore, spiral galaxies are divided in ordinary and barred. This model uses convolutional neural network (CNN) to classify images of spiral galaxies as barred and unbarred galaxy.

Key Data

By Persistent Systems
Type Model Package
Fulfillment Methods Amazon SageMaker

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