Metadata-Version: 2.1
Name: paoding-dl
Version: 0.0.17
Summary: Stochastic data-free robustness preserving neural network pruning
Home-page: https://github.com/mark-h-meng/nnprune
Author: Mark H. Meng
Author-email: <menghs@i2r.a-star.edu.sg>
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/mark-h-meng/nnprune/issues
Description: # PAODING-DL: A Stochastic Data-free Robustness-preserving Neural Network Pruning Solution
        
        Our python package performs pruning progressively and evaluate robustness automatically. The code is written and tested through Microsoft VS Code.
        
        The execution environment of the experiments on paper is summarised as follows: 
        * Tensorflow 2.3.0 (Anaconda, tensorflow-gpu version)
        * Python 3.8
        * Ubuntu 20.04 LTS
        
        More technical details and documentations will be published soon in the future release.
Keywords: python,neural network pruning
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
