Analyze weight matrices of Deep Neural Networks

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License: Apache License, Version 2.0

Author: Calculation Consulting

Maintainer: Calculation Consulting

Tags Deep, Learning, Keras, Tensorflow, pytorch, CNN, DNN, Neural, Networks

Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*

Project description

Weight Watcher

Weight Watcher analyzes weight matrices of Deep Neural Networks.

Installation

pip install weightwatcher

Usage

Weight Watcher works with both Keras and pyTorch models.

import weightwatcher as ww
watcher = ww.WeightWatcher(model=model)
results = watcher.analyze()

watcher.get_summary()
watcher.print_results()

Links

Weight Watcher homepage

License

Apache License 2.0

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for charlesmartin14 from gravatar.com charlesmartin14

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Apache License, Version 2.0

Author: Calculation Consulting

Maintainer: Calculation Consulting

Tags Deep, Learning, Keras, Tensorflow, pytorch, CNN, DNN, Neural, Networks

Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*


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0.1

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WeightWatcher-0.1.tar.gz (176.2 kB view hashes)

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Built Distribution

WeightWatcher-0.1-py3-none-any.whl (12.7 kB view hashes)

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