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Project: autograd-latest
Version: 1.3
Filename: autograd_latest-1.3-py3-none-any.whl
Download: [link]
Size: 50189
MD5: 9d0451874c5d27a019caa2b0d6d91f62
SHA256: f94b6f4dfb718f59538ecf118c8b354ea9a7c84fa8e310cea1f3aefd3a388553
Uploaded: 2021-05-13 12:34:17 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: autograd-latest
Version: 1.3
Summary: Efficiently computes derivatives of numpy code.
Author: Dougal Maclaurin and David Duvenaud and Matthew Johnson
Author-Email: maclaurin[at]physics.harvard.edu, duvenaud[at]cs.toronto.edu, mattjj[at]csail.mit.edu
Home-Page: https://github.com/HIPS/autograd
License: MIT
Keywords: Automatic differentiation,backpropagation,gradients,machine learning,optimization,neural networks,Python,Numpy,Scipy
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: numpy (>=1.12)
Requires-Dist: future (>=0.15.2)
[No description]

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top_level.txt

autograd