https://github.com/astrogilda/dnn-and-hdft
Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size - UPMC (University Of Pittsburgh)
Science Score: 13.0%
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Low similarity (3.0%) to scientific vocabulary
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Small Data Challenge: Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size - UPMC (University Of Pittsburgh)
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Fork of rhettdsouza13/DNN-And-HDFT
Created over 6 years ago
· Last pushed over 7 years ago
https://github.com/astrogilda/DNN-And-HDFT/blob/master/
# DNN-And-HDFT This is the code used to generate networks and train/test them using Tensorflow, preprocess and unpack data, recording metrics, ranking networks and plotting interesting results. The pre-print it available at: https://doi.org/10.1101/402610
Owner
- Name: Sankalp Gilda
- Login: astrogilda
- Kind: user
- Location: Gainesville, FL
- Website: www.linkedin.com/in/sankalp-gilda/
- Twitter: astrogilda
- Repositories: 141
- Profile: https://github.com/astrogilda
Machine Learning Engineer | Ph.D., Astronomy