Machine Learning for Southern Ocean Overturning ...
This code repository contains a Jupyter notebook that details the neural network architectures and parameters used in our research paper. Specifically, it includes the implementation of a fully connected neural network, a linear neural network, and a convolutional neural network. The notebook also o...
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| Format: | Text |
| Language: | unknown |
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Zenodo
2024
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| Online Access: | https://dx.doi.org/10.5281/zenodo.13381355 https://zenodo.org/doi/10.5281/zenodo.13381355 |
| Summary: | This code repository contains a Jupyter notebook that details the neural network architectures and parameters used in our research paper. Specifically, it includes the implementation of a fully connected neural network, a linear neural network, and a convolutional neural network. The notebook also outlines the code used for constructing the training and testing datasets, providing a clear explanation of how the data was prepared. Additionally, it contains the relevant temporal filter functions used in our analysis. The numerical simulation data is downloaded here: https://doi.org/10.5281/zenodo.6850435 ... |
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