{ "info": { "author": "niley1nov", "author_email": "nilaysharma1nov@gmail.com", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.7" ], "description": "# Keras RNAdam\n\nuse of nesterov accelerated geadient instead of momentum in rectified-adam\n\n## Install\n\n```bash\npip install keras_rnadam\n```\n\n## Usage\n\n```python\nimport keras\nimport numpy as np\nfrom keras_rnadam import RNAdam\n\n# Build toy model with RNAdam optimizer\nmodel = keras.models.Sequential()\nmodel.add(keras.layers.Dense(input_shape=(17,), units=3))\nmodel.compile(RNAdam(), loss='mse')\n\n# Generate toy data\nx = np.random.standard_normal((4096 * 30, 17))\nw = np.random.standard_normal((17, 3))\ny = np.dot(x, w)\n\n# Fit\nmodel.fit(x, y, epochs=5)\n```\n\n### Use Warmup\n\n```python\nfrom keras_nradam import RNAdam\nRNAdam(total_step=10000, warmup_proportion=0.1, min_lr=1e-5)\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/niley1nov/keras_rnadam/archive/0.2.0.tar.gz", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "keras-rnadam", "package_url": "https://pypi.org/project/keras-rnadam/", "platform": "", "project_url": "https://pypi.org/project/keras-rnadam/", "project_urls": { "Homepage": "https://github.com/niley1nov/keras_rnadam/archive/0.2.0.tar.gz" }, "release_url": "https://pypi.org/project/keras-rnadam/0.2.0/", "requires_dist": null, "requires_python": "", "summary": "Rectified Nadam implemented in Keras", "version": "0.2.0" }, "last_serial": 5690951, "releases": { "0.2.0": [ { "comment_text": "", "digests": { "md5": "b509fb34eafefbe57cce3c40a2c0137a", "sha256": "7436f9d1a7b9bc36251993f53f04db91f7bc1b6576bfa7cddd0dc2f05c433cd3" }, "downloads": -1, "filename": "keras_rnadam-0.2.0.tar.gz", "has_sig": false, "md5_digest": "b509fb34eafefbe57cce3c40a2c0137a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3500, "upload_time": "2019-08-17T08:15:56", "url": "https://files.pythonhosted.org/packages/0a/d9/1f0fccf4fd7252a5cdf913f02273c4cbebe8b61f4251d438e7040011b8fd/keras_rnadam-0.2.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "b509fb34eafefbe57cce3c40a2c0137a", "sha256": "7436f9d1a7b9bc36251993f53f04db91f7bc1b6576bfa7cddd0dc2f05c433cd3" }, "downloads": -1, "filename": "keras_rnadam-0.2.0.tar.gz", "has_sig": false, "md5_digest": "b509fb34eafefbe57cce3c40a2c0137a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3500, "upload_time": "2019-08-17T08:15:56", "url": "https://files.pythonhosted.org/packages/0a/d9/1f0fccf4fd7252a5cdf913f02273c4cbebe8b61f4251d438e7040011b8fd/keras_rnadam-0.2.0.tar.gz" } ] }