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Fix #5814 #5844

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Nov 30, 2018
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Fix #5814 #5844

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5 changes: 2 additions & 3 deletions samples/core/get_started/custom_estimator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,9 +27,8 @@
help='number of training steps')

def my_model(features, labels, mode, params):
"""DNN with three hidden layers, and dropout of 0.1 probability."""
# Create three fully connected layers each layer having a dropout
# probability of 0.1.
"""DNN with three hidden layers and learning_rate=0.1."""
# Create three fully connected layers.
net = tf.feature_column.input_layer(features, params['feature_columns'])
for units in params['hidden_units']:
net = tf.layers.dense(net, units=units, activation=tf.nn.relu)
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