52 lines
2.4 KiB
Plaintext
52 lines
2.4 KiB
Plaintext
Metadata-Version: 2.1
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Name: keras
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Version: 2.15.0
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Summary: Deep learning for humans.
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Home-page: https://keras.io/
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Download-URL: https://github.com/keras-team/keras/tags
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Author: Keras team
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Author-email: keras-users@googlegroups.com
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License: Apache 2.0
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Keywords: keras,tensorflow,machine learning,deep learning
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Education
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Topic :: Scientific/Engineering
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Classifier: Topic :: Scientific/Engineering :: Mathematics
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Classifier: Topic :: Software Development
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Classifier: Topic :: Software Development :: Libraries
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Requires-Python: >=3.8
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Keras is a deep learning API written in Python,
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running on top of the machine learning platform TensorFlow.
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It was developed with a focus on enabling fast experimentation and
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providing a delightful developer experience.
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The purpose of Keras is to give an *unfair advantage* to any developer
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looking to ship ML-powered apps.
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Keras is:
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- **Simple** -- but not simplistic. Keras reduces developer *cognitive load*
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to free you to focus on the parts of the problem that really matter.
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Keras focuses on ease of use, debugging speed, code elegance & conciseness,
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maintainability, and deployability (via TFServing, TFLite, TF.js).
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- **Flexible** -- Keras adopts the principle of *progressive disclosure of
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complexity*: simple workflows should be quick and easy, while arbitrarily
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advanced workflows should be *possible* via a clear path that builds upon
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what you've already learned.
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- **Powerful** -- Keras provides industry-strength performance and
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scalability: it is used by organizations and companies including NASA,
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YouTube, and Waymo. That's right -- your YouTube recommendations are
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powered by Keras, and so is the world's most advanced driverless vehicle.
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