49 lines
1.8 KiB
Plaintext
49 lines
1.8 KiB
Plaintext
Metadata-Version: 2.2
|
|
Name: tf_keras
|
|
Version: 2.19.0
|
|
Summary: Deep learning for humans.
|
|
Home-page: https://keras.io/
|
|
Download-URL: https://github.com/keras-team/tf-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 :: 3.9
|
|
Classifier: Programming Language :: Python :: 3.10
|
|
Classifier: Programming Language :: Python :: 3.11
|
|
Classifier: Programming Language :: Python :: 3.12
|
|
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: >=3.9
|
|
Requires-Dist: tensorflow<2.20,>=2.19
|
|
Dynamic: author
|
|
Dynamic: author-email
|
|
Dynamic: classifier
|
|
Dynamic: description
|
|
Dynamic: download-url
|
|
Dynamic: home-page
|
|
Dynamic: keywords
|
|
Dynamic: license
|
|
Dynamic: requires-dist
|
|
Dynamic: requires-python
|
|
Dynamic: summary
|
|
|
|
TF-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 TF-Keras is to give an *unfair advantage* to any developer
|
|
looking to ship ML-powered apps.
|