"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",
"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",
"\n",
"\n",
"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",
"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",
