https://github.com/clarkedavida/cnn_ising2d_bal

CNN used in our study of example size in context of 2d Ising model.
https://github.com/clarkedavida/cnn_ising2d_bal

Last synced: 7 days ago
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CNN used in our study of example size in context of 2d Ising model.

• Host: GitHub
• URL: https://github.com/clarkedavida/cnn_ising2d_bal
• Owner: clarkedavida
• License: mit
• Created: 2025-01-08T19:18:29.000Z (14 days ago)
• Default Branch: main
• Last Pushed: 2025-01-08T19:41:53.000Z (14 days ago)
• Last Synced: 2025-01-08T20:41:55.611Z (14 days ago)
• Language: Python
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CNN_Ising2D_BAL

We studied the effect of example size on the output layer of

a CNN trained to classify phases of the 2-$d$ Ising model.

Here we collect our CNN. The architecture is our best

understanding of the architecture presented in 

Appendix B of [2004.14341](https://arxiv.org/abs/2004.14341)

by [D. Bachtis](https://github.com/dbachtis),

G. Aarts, and B. Lucini.

This implementation by [A. Abuali](https://github.com/SabryPhys) utilizes 

[Scikit-Learn](https://github.com/scikit-learn/scikit-learn) and 

[Tensorflow](https://github.com/tensorflow/tensorflow) with 

[Keras](https://github.com/keras-team/keras).