message: Delete bad links (md links not supported in html blocks).
diff: @@ -4,32 +4,28 @@ This unit provides the following short examples demonstrating how
  to implement regression in Estimators:
  <table>
  - <tr> <th>Example</th> <th>Data Set</th> <th>Demonstrates How To...</th></tr>
  + <tr> <th>Example</th> <th>Demonstrates How To...</th></tr>
  <tr>
  <td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/linear_regression.py">linear_regression.py</a></td>
  - <td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
  <td>Use the @{tf.estimator.LinearRegressor} Estimator to train a
  regression model on numeric data.</td>
  </tr>
  <tr>
  <td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/linear_regression_categorical.py">linear_regression_categorical.py</a></td>
  - <td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
  <td>Use the @{tf.estimator.LinearRegressor} Estimator to train a
  regression model on categorical data.</td>
  </tr>
  <tr>
  <td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/dnn_regression.py">dnn_regression.py</a></td>
  - <td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
  <td>Use the @{tf.estimator.DNNRegressor} Estimator to train a
  regression model on discrete data with a deep neural network.</td>
  </tr>
  <tr>
  <td><a href="https://www.tensorflow.org/code/tensorflow/examples/get_started/regression/custom_regression.py">custom_regression.py</a></td>
  - <td>[imports85](https://archive.ics.uci.edu/ml/datasets/automobile)</td>
  <td>Use @{tf.estimator.Estimator} to train a customized dnn
  regression model.</td>
  </tr>
  @@ -96,7 +92,7 @@ During training, all three programs output the following information:
  For example, here's some possible output for the `linear_regressor.py`
  program:
  -```bsh
  +``` None
  INFO:tensorflow:Saving checkpoints for 1 into /tmp/tmpAObiz9/model.ckpt.
  INFO:tensorflow:loss = 161.308, step = 1
  INFO:tensorflow:global_step/sec: 1557.24
  