{ "info": { "author": "Sridhar Adhikarla", "author_email": "adhikarla2sridhar@yahoo.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Basic Neural Net Package\n\nThis is a simple packkage that implements neural nets from scratch. This package can help you develop small neural net models, and will give you experience of implementing a neural network from scratch. The package can not be used for large scale DL models, it is created for the purpose of learning to implement Neural Nets from scratch.\n\n## Who is this package for - \n\nThe neural net class in this package is built using basic numpy functions, giving you a deep dive on how the backpropogation algorithm works. This package is for beginers who want to get started with neural nets and want to implement it from scratch.\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/sridhar1029/Basic_NN", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "Basic-NN", "package_url": "https://pypi.org/project/Basic-NN/", "platform": "", "project_url": "https://pypi.org/project/Basic-NN/", "project_urls": { "Homepage": "https://github.com/sridhar1029/Basic_NN" }, "release_url": "https://pypi.org/project/Basic-NN/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "A simple package to help you learn to implement NN", "version": "0.0.2" }, "last_serial": 4705028, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "c23af25a59bfeb0aac913d0d7a8a52e4", "sha256": "e80eef0e2bbfadd79b683bc367265438a2db7fec503027206adc835625717d17" }, "downloads": -1, "filename": "Basic_NN-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "c23af25a59bfeb0aac913d0d7a8a52e4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 2296, "upload_time": "2019-01-16T20:20:14", "url": "https://files.pythonhosted.org/packages/3e/58/7ab027af0ddba6b9d921e30300bfe1677590f463f48fdb379ac4ecb84871/Basic_NN-0.0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "d6743725564ab82d79ab5d1d502cfd33", "sha256": "a249722665afc732b2721941ac744e684acf627f4b61f44ddaa6e1b42f09548c" }, "downloads": -1, "filename": "Basic_NN-0.0.2.tar.gz", "has_sig": false, "md5_digest": "d6743725564ab82d79ab5d1d502cfd33", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1288, "upload_time": "2019-01-16T20:20:16", "url": "https://files.pythonhosted.org/packages/26/03/7074d5cbd8f19f50db63b3d4f2c105383f48795aebf8e48f82e5b33cc688/Basic_NN-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c23af25a59bfeb0aac913d0d7a8a52e4", "sha256": "e80eef0e2bbfadd79b683bc367265438a2db7fec503027206adc835625717d17" }, "downloads": -1, "filename": "Basic_NN-0.0.2-py3-none-any.whl", "has_sig": false, "md5_digest": "c23af25a59bfeb0aac913d0d7a8a52e4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 2296, "upload_time": "2019-01-16T20:20:14", "url": "https://files.pythonhosted.org/packages/3e/58/7ab027af0ddba6b9d921e30300bfe1677590f463f48fdb379ac4ecb84871/Basic_NN-0.0.2-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "d6743725564ab82d79ab5d1d502cfd33", "sha256": "a249722665afc732b2721941ac744e684acf627f4b61f44ddaa6e1b42f09548c" }, "downloads": -1, "filename": "Basic_NN-0.0.2.tar.gz", "has_sig": false, "md5_digest": "d6743725564ab82d79ab5d1d502cfd33", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1288, "upload_time": "2019-01-16T20:20:16", "url": "https://files.pythonhosted.org/packages/26/03/7074d5cbd8f19f50db63b3d4f2c105383f48795aebf8e48f82e5b33cc688/Basic_NN-0.0.2.tar.gz" } ] }