Metadata-Version: 1.1
Name: conx
Version: 3.6.7
Summary: On-Ramp to Deep Learning. Built on Keras
Home-page: https://github.com/Calysto/conx
Author: Douglas S. Blank
Author-email: doug.blank@gmail.com
License: UNKNOWN
Description: Conx Neural Networks
        ====================
        
        The On-Ramp to Deep Learning
        ----------------------------
        
        Built in Python 3 on Keras 2.
        
        |Binder| |CircleCI| |codecov| |Documentation Status| |PyPI version|
        
        Read the documentation at
        `conx.readthedocs.io <http://conx.readthedocs.io/>`__
        
        Ask questions on the mailing list:
        `conx-users <https://groups.google.com/forum/#!forum/conx-users>`__
        
        Implements Deep Learning neural network algorithms using a simple
        interface with easy visualizations and useful analytical. Built on top
        of Keras, which can use either
        `TensorFlow <https://www.tensorflow.org/>`__,
        `Theano <http://www.deeplearning.net/software/theano/>`__, or
        `CNTK <https://www.cntk.ai/pythondocs/>`__.
        
        The network is specified to the constructor by providing sizes. For
        example, Network("XOR", 2, 5, 1) specifies a network named "XOR" with a
        2-node input layer, 5-unit hidden layer, and a 1-unit output layer.
        
        Computing XOR via a target function:
        
        .. code:: python
        
            import conx as cx
        
            dataset = [[[0, 0], [0]],
                       [[0, 1], [1]],
                       [[1, 0], [1]],
                       [[1, 1], [0]]]
        
            net = cx.Network("XOR", 2, 5, 1, activation="sigmoid")
            net.set_dataset(dataset)
            net.compile(error='mean_squared_error',
                        optimizer="sgd", lr=0.3, momentum=0.9)
            net.train(2000, report_rate=10, accuracy=1.0)
            net.test(show=True)
        
        Creates dynamic, rendered visualizations like this:
        
        Examples
        --------
        
        See
        `conx-notebooks <https://github.com/Calysto/conx-notebooks/blob/master/00_Index.ipynb>`__
        and the `documentation <http://conx.readthedocs.io/en/latest/>`__ for
        additional examples.
        
        Installation
        ------------
        
        | See `How To Run
          Conx <https://github.com/Calysto/conx-notebooks/tree/master/HowToRun#how-to-run-conx>`__
        | to see options on running virtual machines, in the cloud, and personal
        | installation.
        
        .. |Binder| image:: https://mybinder.org/badge.svg
           :target: https://mybinder.org/v2/gh/Calysto/conx/master?filepath=binder%2Findex.ipynb
        .. |CircleCI| image:: https://circleci.com/gh/Calysto/conx/tree/master.svg?style=svg
           :target: https://circleci.com/gh/Calysto/conx/tree/master
        .. |codecov| image:: https://codecov.io/gh/Calysto/conx/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/Calysto/conx
        .. |Documentation Status| image:: https://readthedocs.org/projects/conx/badge/?version=latest
           :target: http://conx.readthedocs.io/en/latest/?badge=latest
        .. |PyPI version| image:: https://badge.fury.io/py/conx.svg
           :target: https://badge.fury.io/py/conx
        
Platform: UNKNOWN
Classifier: Framework :: IPython
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: Python :: 3
