{
    "info": {
        "author": "Aditya Radhakrishnan",
        "author_email": "adityaradk@gmail.com",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "![](https://i.ibb.co/ypC5ZVv/aunnl.png)\n___\n\nAUNNL is another unnecessary neural network library for Python 3.x. It is intended to help create and train basic neural networks very easily.\n\n## Getting Started\n\n### Installation\n\nIt is recommended you install via pip for Python 3:\n\n```\npip install aunnl\n```\n\nAfter this, you can import it into your python program with:\n\n```\nimport aunnl\n```\n\n### Basic Example\n\nThe following example trains a neural network to classify handwritten digits from the MNIST dataset. The dataset is loaded using the `mnist_web` module, which is not packaged with AUNNL. Download and install it with the command `pip install mnist_web`.\n\n```\nimport aunnl\n\nfrom mnist_web import mnist\ndata, labels, _, _ = mnist(path=\"dataset\")\n\nmodel = aunnl.NeuralNetwork([784, 256, 10], [\"relu\", \"sigmoid\"])\n\nepochs, lr, batch_size = 1, 0.1, 64\n\nmodel.fit(data, labels, epochs, batch_size, lr, aunnl.losses.MSE)\nmodel.save(\"mnist.aunn\")\n```\n\nIn the above example, a neural network with a hidden layer of 256 neurons is trained - its activation being ReLU and the output layer activation being sigmoid. The model, which is an `aunnl.NeuralNetwork` object, is then saved to the file `mnist.aunn`. The model can be loaded from the file with `aunnl.loadModel('mnist.aunn')`.\n\nTo use the model, simply pass the image in the form of a flat numpy array (denoted here as `img_arr`) to the model with `model.feedForward(img_arr)`. The `feedForward` function returns a list of the values outputted by the model.\n\n\n",
        "description_content_type": "text/markdown",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/adityaradk/aunnl",
        "keywords": "Deep Learning,Machine Learning,Artificial Neural Networks",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "aunnl",
        "package_url": "https://pypi.org/project/aunnl/",
        "platform": "",
        "project_url": "https://pypi.org/project/aunnl/",
        "project_urls": {
            "Homepage": "https://github.com/adityaradk/aunnl"
        },
        "release_url": "https://pypi.org/project/aunnl/3.0.3/",
        "requires_dist": [
            "numpy",
            "scipy"
        ],
        "requires_python": "",
        "summary": "Another Unnecessary Neural Network Library",
        "version": "3.0.3"
    },
    "last_serial": 5780790,
    "releases": {
        "3.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "374a54a799576a17c9be9f5c6b7e6dda",
                    "sha256": "25747f6a3d045df6f90cfcf6dac7f0887be7c1d171433a8c66997861cd5528d7"
                },
                "downloads": -1,
                "filename": "aunnl-3.0.2-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "374a54a799576a17c9be9f5c6b7e6dda",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 5377,
                "upload_time": "2019-09-03T13:12:16",
                "url": "https://files.pythonhosted.org/packages/42/bc/e32e679f5c39bcfb1b5558a727333d444f11b10f5c56b10393d58a6caf25/aunnl-3.0.2-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "5ca45f2798fc24956a5d25109eb2444d",
                    "sha256": "f0b5f4c94ea8fc31dce07ead55f4bc6511fa600a281523d1b7cad879ace0bb50"
                },
                "downloads": -1,
                "filename": "aunnl-3.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "5ca45f2798fc24956a5d25109eb2444d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4312,
                "upload_time": "2019-09-03T13:12:17",
                "url": "https://files.pythonhosted.org/packages/5f/d0/d7ca1f326d16be245ae205e09e7fe4dea02de48cd614b74a6e895b662826/aunnl-3.0.2.tar.gz"
            }
        ],
        "3.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "8ab0e6f0c01e96c98421d5926d861763",
                    "sha256": "8b959ea2fec99414dbf01aa92111c8cd705b55edbe84ce5a15a9fbddecd9d274"
                },
                "downloads": -1,
                "filename": "aunnl-3.0.3-py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "8ab0e6f0c01e96c98421d5926d861763",
                "packagetype": "bdist_wheel",
                "python_version": "py3",
                "requires_python": null,
                "size": 5706,
                "upload_time": "2019-09-04T11:52:41",
                "url": "https://files.pythonhosted.org/packages/05/1e/51dfcd938cd3565a23d448d5f9cedcc7b5f37cb85261814183c7627f51c6/aunnl-3.0.3-py3-none-any.whl"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e9c74878babc6c812e543537eae1a960",
                    "sha256": "cc834df18f748100c25ef8c116c177d0629049c115b4df28d6546ff88c2c68be"
                },
                "downloads": -1,
                "filename": "aunnl-3.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "e9c74878babc6c812e543537eae1a960",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 4817,
                "upload_time": "2019-09-04T11:52:42",
                "url": "https://files.pythonhosted.org/packages/30/96/aa936df29346dda3106de77d37298906ae632d8c0e3b065e021b30af839b/aunnl-3.0.3.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "8ab0e6f0c01e96c98421d5926d861763",
                "sha256": "8b959ea2fec99414dbf01aa92111c8cd705b55edbe84ce5a15a9fbddecd9d274"
            },
            "downloads": -1,
            "filename": "aunnl-3.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "8ab0e6f0c01e96c98421d5926d861763",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 5706,
            "upload_time": "2019-09-04T11:52:41",
            "url": "https://files.pythonhosted.org/packages/05/1e/51dfcd938cd3565a23d448d5f9cedcc7b5f37cb85261814183c7627f51c6/aunnl-3.0.3-py3-none-any.whl"
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "e9c74878babc6c812e543537eae1a960",
                "sha256": "cc834df18f748100c25ef8c116c177d0629049c115b4df28d6546ff88c2c68be"
            },
            "downloads": -1,
            "filename": "aunnl-3.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "e9c74878babc6c812e543537eae1a960",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 4817,
            "upload_time": "2019-09-04T11:52:42",
            "url": "https://files.pythonhosted.org/packages/30/96/aa936df29346dda3106de77d37298906ae632d8c0e3b065e021b30af839b/aunnl-3.0.3.tar.gz"
        }
    ]
}