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RNN Colorbot: An RNN that predicts colors using eager execution.
To train and generate colors, run:
```
python rnn_colorbot.py
```
This example shows how to:
1. read, process, (one-hot) encode, and pad text data via the
Datasets API;
2. build a trainable model;
3. implement a multi-layer RNN using Python control flow
constructs (e.g., a for loop);
4. train a model using an iterative gradient-based method; and
5. log training and evaluation loss for consumption by TensorBoard
(to view summaries, use: tensorboard --log_dir=<dir>/summaries).
The data used in this example is licensed under the Creative Commons
Attribution-ShareAlike License and is available at
https://en.wikipedia.org/wiki/List_of_colors:_A-F
https://en.wikipedia.org/wiki/List_of_colors:_G-M
https://en.wikipedia.org/wiki/List_of_colors:_N-Z
This example was adapted from
https://github.com/random-forests/tensorflow-workshop/tree/master/archive/extras/colorbot
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