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7 changes: 7 additions & 0 deletions docs/_sources/example_cvffnn_1.rst.txt
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example\_cvffnn\_1 module
=========================

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example\_cvrbf\_1 module
========================

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example\_fcrbf\_1 module
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example\_ptrbf\_1 module
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example\_ptrbf\_2 module
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example\_scffnn\_1 module
=========================

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.. RosenPy documentation master file, created by
sphinx-quickstart on Mon Apr 29 14:24:56 2024.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to RosenPy's documentation!
===================================

What is RosenPy?
----------------
• A complex-valued neural network library, written in Python;
• Incorporates CVNNs such as CV-FFNN (complex-valued feedforward neural network), SC-FFNN (split-complex feedforward neural network), CV-RBFNN (com-plex-valued radial basis function neural network), FC-RBFNN (fully-complex radial basis function neural network), and PT-RBFNN (deep phase transmittance radial basis function neural network);
• It enables the incorporation of properties intrinsic to neural networks, such as L2 regularization, optimization, early stopping, mini-batch, and learning rate decay.

Dependencies
------------

Python3.6+, Numpy

Features and Benefits
---------------------
RosenPy is easy to use, has a fast learning curve for the end-user, and is implemented in one of the most popular programming languages available today. Additionally, the framework incorporates several features that aid in optimizing complex-valued prediction problems. In addition, the API is consistent, straightforward, extensible, and has a simple structure.
It supports five different complex-valued neural networks that the end-user can easily model and train by simple configuration of their hyperparameters.


.. toctree::
:maxdepth: 2
:caption: Contents:

example_cvffnn_1
example_cvrbf_1
example_fcrbf_1
example_ptrbf_1
example_ptrbf_2
example_scffnn_1
modules



Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`


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rosenpy
=======

.. toctree::
:maxdepth: 4

rosenpy
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rosenpy.model package
=====================

Submodules
----------

rosenpy.model.cvffnn module
---------------------------

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rosenpy.model.cvrbfnn module
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rosenpy.model.fcrbfnn module
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rosenpy.model.ptrbfnnc module
-----------------------------

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rosenpy.model.rp\_layer module
------------------------------

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rosenpy.model.rp\_nn module
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rosenpy.model.rp\_optimizer module
----------------------------------

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rosenpy.model.scffnn module
---------------------------

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Module contents
---------------

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rosenpy package
===============

Subpackages
-----------

.. toctree::
:maxdepth: 4

rosenpy.model
rosenpy.utils

Module contents
---------------

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rosenpy.utils package
=====================

Submodules
----------

rosenpy.utils.act\_func module
------------------------------

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rosenpy.utils.batch\_gen\_func module
-------------------------------------

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rosenpy.utils.cost\_func module
-------------------------------

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rosenpy.utils.decay\_func module
--------------------------------

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rosenpy.utils.init\_func module
-------------------------------

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rosenpy.utils.plot module
-------------------------

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rosenpy.utils.reg\_func module
------------------------------

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rosenpy.utils.select\_module module
-----------------------------------

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rosenpy.utils.utils module
--------------------------

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Module contents
---------------

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