{ "info": { "author": "Bence Tilk", "author_email": "bence.tilk@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3" ], "description": "# Stochastic Variance Reduction Gradient Descent (SVRG) optimizer for Keras\n\n## Reference\nhttps://papers.nips.cc/paper/4937-accelerating-stochastic-gradient-descent-using-predictive-variance-reduction.pdf\n\n\n## Test results on MNIST\nThe following figure shows the train loss.\n![MNIST](MNIST.png)\n__________________________________\nThe results on test set:\n| |SVRG |SGD |\n|--------|---------|----------|\n|Loss |0.0893619|0.05765046|\n|Accuracy|0.9722 |0.9817 |\n\n\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/tilkb/SVRGoptimizerKeras", "keywords": "SVRG,Keras,Optimizer", "license": "", "maintainer": "", "maintainer_email": "", "name": "svrg-optimizer-keras", "package_url": "https://pypi.org/project/svrg-optimizer-keras/", "platform": "", "project_url": "https://pypi.org/project/svrg-optimizer-keras/", "project_urls": { "Homepage": "https://github.com/tilkb/SVRGoptimizerKeras" }, "release_url": "https://pypi.org/project/svrg-optimizer-keras/0.1.0/", "requires_dist": [ "keras (>=2.2)" ], "requires_python": "", "summary": "SVGR optimizer for Keras", "version": "0.1.0" }, "last_serial": 5727615, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "1fb8ec2fc39b2a7d8c86fd48af1f5ac4", "sha256": "b4f8ca7f04be835134b25e6aee8a9c89e642fa9aed5fc2c55ea073e4000824ba" }, "downloads": -1, "filename": "svrg_optimizer_keras-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "1fb8ec2fc39b2a7d8c86fd48af1f5ac4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 3155, "upload_time": "2019-08-25T18:10:42", "url": "https://files.pythonhosted.org/packages/cf/18/6d5bc37c7217f2a9c975358a6ba7f1ef1314083b27e9ebddc9a5e9d8a9b8/svrg_optimizer_keras-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "bf85cc62d7cd0af8d8ad405ec5dc41cc", "sha256": "ee673d327dbb9804c0a0346c6f4c95724e22a97891cf7035252e506038862c61" }, "downloads": -1, "filename": "svrg-optimizer-keras-0.1.0.tar.gz", "has_sig": false, "md5_digest": "bf85cc62d7cd0af8d8ad405ec5dc41cc", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2544, "upload_time": "2019-08-25T18:10:45", "url": "https://files.pythonhosted.org/packages/23/e2/d7dc77c7ef3d3b1b23b0bc6d50b3514d1faf3d1ed92b2bfe9104011d1597/svrg-optimizer-keras-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "1fb8ec2fc39b2a7d8c86fd48af1f5ac4", "sha256": "b4f8ca7f04be835134b25e6aee8a9c89e642fa9aed5fc2c55ea073e4000824ba" }, "downloads": -1, "filename": "svrg_optimizer_keras-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "1fb8ec2fc39b2a7d8c86fd48af1f5ac4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 3155, "upload_time": "2019-08-25T18:10:42", "url": "https://files.pythonhosted.org/packages/cf/18/6d5bc37c7217f2a9c975358a6ba7f1ef1314083b27e9ebddc9a5e9d8a9b8/svrg_optimizer_keras-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "bf85cc62d7cd0af8d8ad405ec5dc41cc", "sha256": "ee673d327dbb9804c0a0346c6f4c95724e22a97891cf7035252e506038862c61" }, "downloads": -1, "filename": "svrg-optimizer-keras-0.1.0.tar.gz", "has_sig": false, "md5_digest": "bf85cc62d7cd0af8d8ad405ec5dc41cc", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2544, "upload_time": "2019-08-25T18:10:45", "url": "https://files.pythonhosted.org/packages/23/e2/d7dc77c7ef3d3b1b23b0bc6d50b3514d1faf3d1ed92b2bfe9104011d1597/svrg-optimizer-keras-0.1.0.tar.gz" } ] }