inspect-nn


Nameinspect-nn JSON
Version 0.0.1 PyPI version JSON
download
home_pagehttps://github.com/SalvatoreBarone/inspect-nn
SummaryInference eNgine uSing aPproximate arithmEtic ComponenTs for Neural Networks
upload_time2022-12-13 14:02:52
maintainer
docs_urlNone
authorSalvatore Barone, Filippo Ferrandino
requires_python
license
keywords neural networks approximate-computing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/SalvatoreBarone/inspect-nn",
    "name": "inspect-nn",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "Neural Networks Approximate-Computing",
    "author": "Salvatore Barone, Filippo Ferrandino",
    "author_email": "salvatore.barone@unina.it, fi.ferrandino@studenti.unina.it",
    "download_url": "https://files.pythonhosted.org/packages/ce/f0/dc719fb3b5246d0c17eb9783b92c7c3e827a5bad55cf11e4460bffb681fd/inspect-nn-0.0.1.tar.gz",
    "platform": null,
    "description": "# inspect-nn : simPle sImulator for Neural nEtworks using APProximate muLtipliErs (written in python)\n\ninspect-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. \n\nIt 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. \n\nAnyway, it is still under development!\n\n## Installing the module\nYou can install this module using ```pip```\n```bash\n$ pip install inspect-nn\n```\n\n## Using inspect-nn",
    "bugtrack_url": null,
    "license": "",
    "summary": "Inference eNgine uSing aPproximate arithmEtic ComponenTs for Neural Networks",
    "version": "0.0.1",
    "split_keywords": [
        "neural",
        "networks",
        "approximate-computing"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "d70dec1ee4932b90b6d7452b15d85ea2",
                "sha256": "008b4ac0944ebb543e517c73f7c97fc9bd041a8689a76e801e9595edb2b480c3"
            },
            "downloads": -1,
            "filename": "inspect-nn-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "d70dec1ee4932b90b6d7452b15d85ea2",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 8472,
            "upload_time": "2022-12-13T14:02:52",
            "upload_time_iso_8601": "2022-12-13T14:02:52.135688Z",
            "url": "https://files.pythonhosted.org/packages/ce/f0/dc719fb3b5246d0c17eb9783b92c7c3e827a5bad55cf11e4460bffb681fd/inspect-nn-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2022-12-13 14:02:52",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "SalvatoreBarone",
    "github_project": "inspect-nn",
    "lcname": "inspect-nn"
}
        
Elapsed time: 0.04930s