model.dynamic
=============

.. py:module:: model.dynamic


Attributes
----------

.. autoapisummary::

   model.dynamic.mlp_example


Classes
-------

.. autoapisummary::

   model.dynamic.DynamicNN


Module Contents
---------------

.. py:class:: DynamicNN(config: List[Dict], custom_layers: Optional[List] = None)

   Bases: :py:obj:`torch.nn.Sequential`


   Class that enables the instantiation of custom neural network architectures using a list
   of layer configurations.

   Inherits from:
       torch.nn.Sequential: Parent class for implementing neural networks with modules defined in a
       sequential manner.

   Initializes a DynamicNN object.

   :param config: List of layer configurations. Each configuration is a dictionary
                  specifying the layer type and its corresponding parameters.
   :type config: list[dict]
   :param custom_layers: List of custom layer classes. Defaults to None.
   :type custom_layers: list, optional


.. py:data:: mlp_example