:orphan: .. _sphx_glr_auto_examples: Examples ======== This page includes examples for jl_spectra_2_structure. .. raw:: html
.. _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. .. raw:: html
.. only:: html .. 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` .. raw:: html
.. toctree:: :hidden: /auto_examples/predict_experiment/plot_predict_experiment .. raw:: html
.. _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. .. raw:: html
.. only:: html .. 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 .. raw:: html
.. only :: html .. 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 `_