nn-in-secs


Namenn-in-secs JSON
Version 1.0 PyPI version JSON
download
home_page
SummaryCreate and Deploy Neural Networks in seconds fully in python!!
upload_time2023-11-20 05:34:17
maintainer
docs_urlNone
author
requires_python>=3.6
licenseMIT License
keywords software development neural networks machine learning artificial intelligence deep learning ai ml
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # nn-in-secs
![Alt text](image.png)

## what is it ?

this is a hobby project to build a small framework to create and deploy neural networks quickly...

## how it all started ?
this is a project that i intended to make as an attempt to understand neural network and machine learning better...

i am a firm believer that building complex topics and ideas from scratch gives you a solid ground and grasp of the concepts...

## installation

Mac / Linux
```
pip3 install nn-in-secs
```

Windows
```
pip install nn-in-secs
```


## What can you do with it

Currently you can deploy any feed-forward neural network with any size2.

You can choose what optimizer to use ,which activations functions ,which cost function...


## NOTE: i am by no means an expert so if you have any improvements or found any bugs in the code please reach out!!

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "nn-in-secs",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "Enes Bayram <bayram.enes1928@gmail.com>",
    "keywords": "software development,neural networks,machine learning,artificial intelligence,deep learning,AI,ML",
    "author": "",
    "author_email": "Enes Bayram <bayram.enes1928@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/8e/4c/43108a73c95e6dd503053091de35d4f94b369d5c7a92d00c03bfdf87f995/nn-in-secs-1.0.tar.gz",
    "platform": null,
    "description": "# nn-in-secs\n![Alt text](image.png)\n\n## what is it ?\n\nthis is a hobby project to build a small framework to create and deploy neural networks quickly...\n\n## how it all started ?\nthis is a project that i intended to make as an attempt to understand neural network and machine learning better...\n\ni am a firm believer that building complex topics and ideas from scratch gives you a solid ground and grasp of the concepts...\n\n## installation\n\nMac / Linux\n```\npip3 install nn-in-secs\n```\n\nWindows\n```\npip install nn-in-secs\n```\n\n\n## What can you do with it\n\nCurrently you can deploy any feed-forward neural network with any size2.\n\nYou can choose what optimizer to use ,which activations functions ,which cost function...\n\n\n## NOTE: i am by no means an expert so if you have any improvements or found any bugs in the code please reach out!!\n",
    "bugtrack_url": null,
    "license": "MIT License",
    "summary": "Create and Deploy Neural Networks in seconds fully in python!!",
    "version": "1.0",
    "project_urls": {
        "Repository": "https://github.com/bayramenes/neural_network"
    },
    "split_keywords": [
        "software development",
        "neural networks",
        "machine learning",
        "artificial intelligence",
        "deep learning",
        "ai",
        "ml"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4af984fc9a285883db22b8560a8e3d6f5b67573f6cc69bcc66627185b78ce043",
                "md5": "af4cb86534f52fe245adf65863d1ccc5",
                "sha256": "2aef9073e8b044689c0ef7a737f4063fc4a39bb491e9a553ca290caabd5525d5"
            },
            "downloads": -1,
            "filename": "nn_in_secs-1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "af4cb86534f52fe245adf65863d1ccc5",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 8505,
            "upload_time": "2023-11-20T05:34:14",
            "upload_time_iso_8601": "2023-11-20T05:34:14.558753Z",
            "url": "https://files.pythonhosted.org/packages/4a/f9/84fc9a285883db22b8560a8e3d6f5b67573f6cc69bcc66627185b78ce043/nn_in_secs-1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "8e4c43108a73c95e6dd503053091de35d4f94b369d5c7a92d00c03bfdf87f995",
                "md5": "cbccbd22eae7376242b547ef6831e45a",
                "sha256": "2f18463167946315aba503a993105c1643629e482fc08670ab864da9fa381eaa"
            },
            "downloads": -1,
            "filename": "nn-in-secs-1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "cbccbd22eae7376242b547ef6831e45a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 68808,
            "upload_time": "2023-11-20T05:34:17",
            "upload_time_iso_8601": "2023-11-20T05:34:17.614732Z",
            "url": "https://files.pythonhosted.org/packages/8e/4c/43108a73c95e6dd503053091de35d4f94b369d5c7a92d00c03bfdf87f995/nn-in-secs-1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-11-20 05:34:17",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "bayramenes",
    "github_project": "neural_network",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "nn-in-secs"
}
        
Elapsed time: 0.27228s