Metadata-Version: 2.1
Name: keras
Version: 2.15.0
Summary: Deep learning for humans.
Home-page: https://keras.io/
Download-URL: https://github.com/keras-team/keras/tags
Author: Keras team
Author-email: keras-users@googlegroups.com
License: Apache 2.0
Keywords: keras,tensorflow,machine learning,deep learning
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8

Keras is a deep learning API written in Python,
running on top of the machine learning platform TensorFlow.

It was developed with a focus on enabling fast experimentation and
providing a delightful developer experience.
The purpose of Keras is to give an *unfair advantage* to any developer
looking to ship ML-powered apps.

Keras is:

-   **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
    to free you to focus on the parts of the problem that really matter.
    Keras focuses on ease of use, debugging speed, code elegance & conciseness,
    maintainability, and deployability (via TFServing, TFLite, TF.js).
-   **Flexible** -- Keras adopts the principle of *progressive disclosure of
    complexity*: simple workflows should be quick and easy, while arbitrarily
    advanced workflows should be *possible* via a clear path that builds upon
    what you've already learned.
-   **Powerful** -- Keras provides industry-strength performance and
    scalability: it is used by organizations and companies including NASA,
    YouTube, and Waymo. That's right -- your YouTube recommendations are
    powered by Keras, and so is the world's most advanced driverless vehicle.