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Merge pull request tensorflow#4155 from lamberta/add-buttons
Add buttons and enable TOC
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samples/core/get_started/eager.ipynb

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"version": "0.3.2",
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"views": {},
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"default_view": {},
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"provenance": []
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {
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"name": "python3",
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"source": [
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"# Get Started with Eager Execution\n",
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"\n",
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"Note: you can run **[this notebook, live in Google Colab](https://colab.research.google.com/github/tensorflow/models/blob/master/samples/core/get_started/eager.ipynb)** with zero setup.\n",
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"\n",
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"<table align=\"left\"><td>\n",
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"<a target=\"_blank\" href=\"https://colab.sandbox.google.com/github/tensorflow/models/blob/master/samples/core/get_started/eager.ipynb\">\n",
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" <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a> \n",
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"</td><td>\n",
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"<a target=\"_blank\" href=\"https://github.com/tensorflow/models/blob/master/samples/core/get_started/eager.ipynb\"><img width=32px src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on Github</a></td></table>\n",
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"\n"
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]
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},
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{
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"metadata": {
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"id": "LDrzLFXE8T1l",
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"colab_type": "text"
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},
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"cell_type": "markdown",
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"source": [
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"This tutorial describes how to use machine learning to *categorize* Iris flowers by species. It uses [TensorFlow](https://www.tensorflow.org)'s eager execution to (1) build a *model*, (2) *train* the model on example data, and (3) use the model to make *predictions* on unknown data. Machine learning experience isn't required to follow this guide, but you'll need to read some Python code.\n",
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"\n",
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"## TensorFlow programming\n",
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]
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}
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]
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}
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}

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