Metadata-Version: 1.2
Name: inspectnn
Version: 0.0.1
Summary: Inference eNgine uSing aPproximate arithmEtic ComponenTs for Neural Networks
Home-page: https://github.com/SalvatoreBarone/inspect-nn
Author: Salvatore Barone, Filippo Ferrandino
Author-email: salvatore.barone@unina.it, fi.ferrandino@studenti.unina.it
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/SalvatoreBarone/inspect-nn/issues
Project-URL: Source, https://github.com/SalvatoreBarone/inspect-nn
Description: # inspect-nn : simPle sImulator for Neural nEtworks using APProximate muLtipliErs (written in python)
        
        inspect-nn is a simulation tool for measuring the classification accuracy loss due to the use of approximate multipliers (i.e., multipliers designed by exploiting the [approximate computing design paradigm](https://link.springer.com/book/10.1007/978-3-030-94705-7)) in neural networks. 
        
        It has been developed to easily do porting of keras/tensorflow models, and to use the GPU to simulate a neural network while using approximate arithmetic units quickly and almost effortlessly. 
        
        Anyway, it is still under development!
        
        ## Installing the module
        You can install this module using ```pip```
        ```bash
        $ pip install inspect-nn
        ```
        
        ## Using inspect-nn
        
        
        
        
Keywords: Neural Networks Approximate-Computing
Platform: UNKNOWN
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3.9
