Skip to content

Star-galaxy Classification Using Deep Convolutional Neural Networks

License

Notifications You must be signed in to change notification settings

edwardjkim/dl4astro

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Star-galaxy Classification Using Deep Convolutional Neural Networks

  • Edward J Kim
  • Robert J Brunner

Paper

The LaTex source files are in the paper directory.

IPython/Jupyter Notebooks

How to generate SDSS cutout images: This notebook demonstrates how to generate cutout images from the SDSS database. Note: For demonstration and testing purposes only. For creating a training set, use scripts/fetch_sdss.py.

Training ConvNets: This notebook demonstrates the ConvNet architecture with a sample training set of 100 images. For demonstration and testing purposes only. In the paper, we used a much larger training set. See scripts/train_cnn.py.

Dockerfile

The Dockerfile for the Jupyter notebook server that has been used to run the notebooks is provided in the docker directory.

About

Star-galaxy Classification Using Deep Convolutional Neural Networks

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published