https://github.com/broadinstitute/keras-resnet

Keras package for deep residual networks
https://github.com/broadinstitute/keras-resnet

deep-learning keras tensorflow theano

Last synced: 3 days ago
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Keras package for deep residual networks

• Host: GitHub
• URL: https://github.com/broadinstitute/keras-resnet
• Owner: broadinstitute
• License: other
• Created: 2017-04-21T19:48:25.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2023-01-15T02:03:53.000Z (almost 2 years ago)
• Last Synced: 2024-12-14T14:07:25.151Z (20 days ago)
• Topics: deep-learning, keras, tensorflow, theano
• Language: Python
• Homepage:
• Size: 121 KB
• Stars: 300
• Watchers: 10
• Forks: 126
• Open Issues: 32
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
Keras-ResNet

============

.. image:: https://travis-ci.org/broadinstitute/keras-resnet.svg?branch=master

    :target: https://travis-ci.org/broadinstitute/keras-resnet

Keras-ResNet is **the** Keras package for deep residual networks. It's fast *and* flexible.

A tantalizing preview of Keras-ResNet simplicity:

.. code-block:: python

    >>> import keras

    >>> import keras_resnet.models

    >>> shape, classes = (32, 32, 3), 10

    >>> x = keras.layers.Input(shape)

    >>> model = keras_resnet.models.ResNet50(x, classes=classes)

    >>> model.compile("adam", "categorical_crossentropy", ["accuracy"])

    >>> (training_x, training_y), (_, _) = keras.datasets.cifar10.load_data()

    >>> training_y = keras.utils.np_utils.to_categorical(training_y)

    >>> model.fit(training_x, training_y)

Installation

------------

Installation couldn’t be easier:

.. code-block:: bash

    $ pip install keras-resnet

Contributing

------------

#. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug. There is a `Contributor Friendly`_ tag for issues that should be ideal for people who are not very familiar with the codebase yet.

#. Fork `the repository`_ on GitHub to start making your changes to the **master** branch (or branch off of it).

#. Write a test which shows that the bug was fixed or that the feature works as expected.

#. Send a pull request and bug the maintainer until it gets merged and published. :) Make sure to add yourself to AUTHORS_.

.. _`the repository`: http://github.com/0x00b1/keras-resnet

.. _AUTHORS: https://github.com/0x00b1/keras-resnet/blob/master/AUTHORS.rst

.. _Contributor Friendly: https://github.com/0x00b1/keras-resnet/issues?direction=desc&labels=Contributor+Friendly&page=1&sort=updated&state=open