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        "description": "# Keras RAdam\n\n[![Travis](https://travis-ci.org/CyberZHG/keras-radam.svg)](https://travis-ci.org/CyberZHG/keras-radam)\n[![Coverage](https://coveralls.io/repos/github/CyberZHG/keras-radam/badge.svg?branch=master)](https://coveralls.io/github/CyberZHG/keras-radam)\n[![Version](https://img.shields.io/pypi/v/keras-rectified-adam.svg)](https://pypi.org/project/keras-rectified-adam/)\n![Downloads](https://img.shields.io/pypi/dm/keras-rectified-adam.svg)\n![License](https://img.shields.io/pypi/l/keras-rectified-adam.svg)\n\n![](https://img.shields.io/badge/keras-tensorflow-blue.svg)\n![](https://img.shields.io/badge/keras-theano-blue.svg)\n![](https://img.shields.io/badge/keras-tf.keras-blue.svg)\n![](https://img.shields.io/badge/keras-tf.keras/eager-blue.svg)\n![](https://img.shields.io/badge/keras-tf.keras/2.0_beta-blue.svg)\n\n\\[[\u4e2d\u6587](https://github.com/CyberZHG/keras-radam/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-radam/blob/master/README.md)\\]\n\nUnofficial implementation of [RAdam](https://arxiv.org/pdf/1908.03265v1.pdf) in Keras and TensorFlow. \n\n## Install\n\n```bash\npip install keras-rectified-adam\n```\n\n## External Link\n\n- [tensorflow/addons:RectifiedAdam](https://github.com/tensorflow/addons/blob/master/tensorflow_addons/optimizers/rectified_adam.py)\n\n## Usage\n\n```python\nimport keras\nimport numpy as np\nfrom keras_radam import RAdam\n\n# Build toy model with RAdam optimizer\nmodel = keras.models.Sequential()\nmodel.add(keras.layers.Dense(input_shape=(17,), units=3))\nmodel.compile(RAdam(), 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### TensorFlow without Keras\n\n```python\nfrom keras_radam.training import RAdamOptimizer\n\nRAdamOptimizer(learning_rate=1e-3)\n```\n\n### Use Warmup\n\n```python\nfrom keras_radam import RAdam\n\nRAdam(total_steps=10000, warmup_proportion=0.1, min_lr=1e-5)\n```\n\n## Q & A\n\n### About Correctness\n\nThe optimizer produces similar losses and weights to the official optimizer after 500 steps.\n\n### Use `tf.keras` or `tf-2.0`\n\nAdd `TF_KERAS=1` to environment variables to use `tensorflow.python.keras`.\n\n### Use `theano` Backend\n\nAdd `KERAS_BACKEND=theano` to environment variables to enable `theano` backend.",
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