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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! | ||
=================================== | ||
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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. | ||
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Dependencies | ||
------------ | ||
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Python3.6+, Numpy | ||
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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. | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
:caption: Contents: | ||
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example_cvffnn_1 | ||
example_cvrbf_1 | ||
example_fcrbf_1 | ||
example_ptrbf_1 | ||
example_ptrbf_2 | ||
example_scffnn_1 | ||
modules | ||
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Indices and tables | ||
================== | ||
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* :ref:`genindex` | ||
* :ref:`modindex` | ||
* :ref:`search` | ||
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rosenpy | ||
======= | ||
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.. toctree:: | ||
:maxdepth: 4 | ||
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rosenpy |
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rosenpy.model package | ||
===================== | ||
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Submodules | ||
---------- | ||
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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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.. automodule:: rosenpy.model.rp_layer | ||
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rosenpy.model.rp\_nn module | ||
--------------------------- | ||
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.. automodule:: rosenpy.model.rp_nn | ||
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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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.. automodule:: rosenpy.model | ||
:members: | ||
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rosenpy package | ||
=============== | ||
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Subpackages | ||
----------- | ||
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.. toctree:: | ||
:maxdepth: 4 | ||
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rosenpy.model | ||
rosenpy.utils | ||
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Module contents | ||
--------------- | ||
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.. automodule:: rosenpy | ||
:members: | ||
:undoc-members: | ||
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rosenpy.utils package | ||
===================== | ||
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Submodules | ||
---------- | ||
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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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