Metadata-Version: 1.1
Name: kerasy
Version: 0.2.0
Summary: A set of python modules for machine learning and data mining especially in the biological field.
Home-page: https://iwasakishuto.github.io/Kerasy/doc
Author: Shuto Iwasaki
Author-email: cabernet.rock@gmail.com
License: MIT
Description: 
        
        .. image:: https://badge.fury.io/py/kerasy.svg
           :target: https://pypi.org/project/kerasy/
           :alt: PyPI version
        
        
        .. image:: https://badge.fury.io/gh/iwasakishuto%2Fkerasy.svg
           :target: https://github.com/iwasakishuto/Kerasy
           :alt: GitHub version
        
        
        .. image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000
           :target: https://github.com/iwasakishuto/Kerasy/blob/gh-pages/LICENSE
           :alt: license
        
        
        Kerasy
        ======
        
        I want to **deepen my understanding of deep learning** by imitating the sophisticated neural networks API, **Keras**.
        
        Installation
        ^^^^^^^^^^^^
        
        There are two ways to install Keras:
        
        
        * **Install Kerasy from PyPI (recommended):**
          .. code-block::
        
               $ sudo pip install kerasy
        
        * **Alternatively: install Kerasy from the GitHub source:**
          .. code-block::
        
               $ git clone https://github.com/keras-team/keras.git
               $ cd keras
               $ sudo python setup.py install
        
        Why this name Kerasy
        ^^^^^^^^^^^^^^^^^^^^
        
        Kerasy means "Keras" + "-y".
        
        
        * `Keras <#Keras>`_ is a high-level neural networks API, written in Python.
        * "-y" is a native English suffix of adjectives meaning **"characterized by or inclined to"** the substance or action of the word or stem to which the suffix is attached. It often plays a role like **"ish"**\ , **"esque"**\ , or **"like"**.
        
        Keras is my favorite library, so I wanted to imitate it and add more algorithms for in particular bioinformatics (which is my major.)
        
        Keras
        ~~~~~
        
        ..
        
           .. image:: https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png
              :target: https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png
              :alt: Keras logo
        
        
           .. image:: https://travis-ci.org/keras-team/keras.svg?branch=master
              :target: https://travis-ci.org/keras-team/keras
              :alt: Build Status
        
        
           .. image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000
              :target: https://github.com/keras-team/keras/blob/master/LICENSE
              :alt: license
        
           Keras is a high-level neural networks API, written in Python and capable of running on top of `TensorFlow <https://github.com/tensorflow/tensorflow>`_\ , `CNTK <https://github.com/Microsoft/cntk>`_\ , or `Theano <https://github.com/Theano/Theano>`_. It was developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.*
        
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
