.. _tutorials:

Tutorials
=========

Welcome to the athena tutorials! These guides will help you get started with building, training, and extending neural networks using the athena library.

.. toctree::
   :maxdepth: 1
   :caption: Getting Started
   :titlesonly:

   basic_network
   training_model
   network_outputs
   saving_loading

.. toctree::
   :maxdepth: 1
   :caption: Examples

   mnist_example
   regression_example
   resnet_example
   msgpass_example
   pinn_example

.. toctree::
   :maxdepth: 1
   :caption: Advanced Topics

   custom_layers
   custom_activations
   custom_initialisers
   custom_optimisers
   custom_loss


.. rubric:: Next Steps

For specific information about layers, activations, and other components, see:

* :ref:`Layers <layers>`
* :ref:`Activation Functions <activation-functions>`
* :ref:`Initialisers <initialisers>`
* :ref:`Optimisers <optimisers>`
* :ref:`Loss Functions <loss-functions>`