{ "info": { "author": "Gautam.R", "author_email": "gautamrbharadwaj@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "This contains Feedforward and Recurrent neural networks \r\n\r\nFeatures\r\n========\r\n* Feedforward and Recurrent neural nets \r\n* Contains logistic, tanh, ReLU, softmax neurons\r\n* Standard loss functions (squared error, cross entropy, sparsity constraints), \r\n and support for custom loss functions\r\n* Different methods to initialize weights \r\n* Customizable connectivity between layers \r\n* Inputs can be generated dynamically by some other system (like a simulation)\r\n\r\nQuick start\r\n-----------\r\n\r\nInstall the package via:\r\n\r\n.. code-block:: bash\r\n\r\n pip install gaunn\r\n\r\nRequirements\r\n------------\r\n\r\n* python 2.7 or 3.5\r\n* numpy 1.9.2\r\n* matplotlib 1.3.1", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "lib", "license": "BSD", "maintainer": "", "maintainer_email": "", "name": "gaunn", "package_url": "https://pypi.org/project/gaunn/", "platform": "", "project_url": "https://pypi.org/project/gaunn/", "project_urls": null, "release_url": "https://pypi.org/project/gaunn/1.0.0/", "requires_dist": null, "requires_python": "", "summary": "Lib", "version": "1.0.0" }, "last_serial": 2312661, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "3fc861f382306db802c519eb203ab240", "sha256": "1de6b484362b25962fd5f3d7e9276a54237b2794a7bcd208ad9603821c0c9e71" }, "downloads": -1, "filename": "gaunn-1.0.0-py2-none-any.whl", "has_sig": true, "md5_digest": "3fc861f382306db802c519eb203ab240", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 37376, "upload_time": "2016-08-30T04:57:44", "url": "https://files.pythonhosted.org/packages/fd/64/b17bb8123619f50069d8c51384a4a086fc7b93f7e5aaefdd0c8f56eb80fd/gaunn-1.0.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "f2f93caa3869cb86ba71d83508c0471b", "sha256": "30d0320301bbdafbd24647f4eadea737a53341ed8d03b8420bb09dac9460d3d8" }, "downloads": -1, "filename": "gaunn-1.0.0.tar.gz", "has_sig": true, "md5_digest": "f2f93caa3869cb86ba71d83508c0471b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32210, "upload_time": "2016-08-30T04:58:03", "url": "https://files.pythonhosted.org/packages/0e/c8/d5a040c7a94ea4654eea7f169248a67c2d380788410a8f87767c5853df16/gaunn-1.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "3fc861f382306db802c519eb203ab240", "sha256": "1de6b484362b25962fd5f3d7e9276a54237b2794a7bcd208ad9603821c0c9e71" }, "downloads": -1, "filename": "gaunn-1.0.0-py2-none-any.whl", "has_sig": true, "md5_digest": "3fc861f382306db802c519eb203ab240", "packagetype": "bdist_wheel", "python_version": "py2", "requires_python": null, "size": 37376, "upload_time": "2016-08-30T04:57:44", "url": "https://files.pythonhosted.org/packages/fd/64/b17bb8123619f50069d8c51384a4a086fc7b93f7e5aaefdd0c8f56eb80fd/gaunn-1.0.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "f2f93caa3869cb86ba71d83508c0471b", "sha256": "30d0320301bbdafbd24647f4eadea737a53341ed8d03b8420bb09dac9460d3d8" }, "downloads": -1, "filename": "gaunn-1.0.0.tar.gz", "has_sig": true, "md5_digest": "f2f93caa3869cb86ba71d83508c0471b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 32210, "upload_time": "2016-08-30T04:58:03", "url": "https://files.pythonhosted.org/packages/0e/c8/d5a040c7a94ea4654eea7f169248a67c2d380788410a8f87767c5853df16/gaunn-1.0.0.tar.gz" } ] }