Skip to main content

Neural Network Gradient Metrics with PyTorch

Project description

PyPI GitHub Workflow Status (branch) PyPI - License PyPI - Downloads

Installation

pip install gradient-metrics

This package implements utilities for computing gradient metrics for measuring uncertainties in neural networks based on the paper "Classification Uncertainty of Deep Neural Networks Based on Gradient Information".

Documentation and examples can be found on GitHub pages.

Citing

@inproceedings{OberdiekRG18,
author = {Philipp Oberdiek and
Matthias Rottmann and
Hanno Gottschalk},
editor = {Luca Pancioni and
Friedhelm Schwenker and
Edmondo Trentin},
title = {Classification Uncertainty of Deep Neural Networks Based on Gradient
Information},
booktitle = {Artificial Neural Networks in Pattern Recognition - 8th {IAPR} {TC3}
Workshop, {ANNPR} 2018, Siena, Italy, September 19-21, 2018, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11081},
pages = {113--125},
publisher = {Springer},
year = {2018},
url = { https://doi.org/10.1007/978-3-319-99978-4_9 },
doi = { 10.1007/978-3-319-99978-4_9 },
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gradient_metrics-0.2.0.tar.gz (7.2 kB view hashes)

Uploaded Source

Built Distribution

gradient_metrics-0.2.0-py3-none-any.whl (7.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page