:orphan:
.. _sphx_glr_auto_examples:
Examples
========
This page includes examples for jl_spectra_2_structure.
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.. _sphx_glr_auto_examples_predict_experiment:
Experimental Prediction Examples
--------------------------------
This contains an examples showing how to use an existing ensemble of neural networks to predict occupied adsorption sites.
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.. figure:: /auto_examples/predict_experiment/images/thumb/sphx_glr_plot_predict_experiment_thumb.png
:ref:`sphx_glr_auto_examples_predict_experiment_plot_predict_experiment.py`
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.. toctree::
:hidden:
/auto_examples/predict_experiment/plot_predict_experiment
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.. _sphx_glr_auto_examples_wasserstein_loss:
Wasserstein loss examples
-------------------------
This contains an example demonstrating the effect of wasserstein loss and its derivative
with respect to the softmax. This is used in backpropagation in jl_spectra_2_structure.neural_network.
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.. figure:: /auto_examples/wasserstein_loss/images/thumb/sphx_glr_plot_wasserstein_thumb.png
:ref:`sphx_glr_auto_examples_wasserstein_loss_plot_wasserstein.py`
.. raw:: html
.. toctree::
:hidden:
/auto_examples/wasserstein_loss/plot_wasserstein
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.. container:: sphx-glr-footer
:class: sphx-glr-footer-gallery
.. container:: sphx-glr-download
:download:`Download all examples in Python source code: auto_examples_python.zip `
.. container:: sphx-glr-download
:download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip `
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_