| /external/tensorflow/tensorflow/contrib/estimator/python/estimator/ |
| dnn_linear_combined.py | 53 dnn_hidden_units=[1000, 500, 100],
102 dnn_hidden_units=None,
125 dnn_hidden_units: List of hidden units per layer. All layers are fully
157 dnn_hidden_units=dnn_hidden_units,
|
| dnn_linear_combined_test.py | 59 dnn_hidden_units=hidden_units,
160 dnn_hidden_units=(2, 2),
|
| /external/tensorflow/tensorflow/python/estimator/canned/ |
| dnn_linear_combined.py | 87 dnn_hidden_units=None,
111 dnn_hidden_units: List of hidden units per DNN layer.
149 if not dnn_hidden_units:
151 'dnn_hidden_units must be defined when dnn_feature_columns is '
163 hidden_units=dnn_hidden_units,
256 dnn_hidden_units=[1000, 500, 100],
306 dnn_hidden_units=None,
332 dnn_hidden_units: List of hidden units per layer. All layers are fully
399 dnn_hidden_units=dnn_hidden_units,
[all...] |
| dnn_linear_combined_test.py | 87 dnn_hidden_units=hidden_units,
234 dnn_hidden_units=(2, 2),
390 dnn_hidden_units=hidden_units,
438 dnn_hidden_units=hidden_units,
497 dnn_hidden_units=(2, 2),
692 dnn_hidden_units=(2, 2),
721 dnn_hidden_units=[1],
769 dnn_hidden_units=[256, 128],
783 dnn_hidden_units=[256, 128],
809 dnn_hidden_units=[256, 128]
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn_linear_combined_test.py | 120 'dnn_hidden_units': [1],
154 'dnn_hidden_units': [1],
204 dnn_hidden_units=[3, 3])
219 dnn_hidden_units=[3, 3])
244 dnn_hidden_units=[3, 3]),
256 dnn_hidden_units=[3, 3])
273 'dnn_hidden_units must be defined when dnn_feature_columns is '
290 dnn_hidden_units=[3, 3],
307 dnn_hidden_units=[3, 3],
339 dnn_hidden_units=[3, 3]
[all...] |
| dnn_linear_combined.py | 163 * dnn_hidden_units: List of hidden units per DNN layer.
189 dnn_hidden_units = params.get("dnn_hidden_units")
219 if not dnn_hidden_units:
221 "dnn_hidden_units must be defined when dnn_feature_columns is "
249 for layer_id, num_hidden_units in enumerate(dnn_hidden_units):
404 dnn_hidden_units=None,
437 dnn_hidden_units: List of hidden units per layer. All layers are fully
479 "dnn_hidden_units": dnn_hidden_units,
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| dnn_tree_combined_estimator.py | 63 features, labels, mode, head, dnn_hidden_units,
79 dnn_hidden_units: List of hidden units per layer.
144 for layer_id, num_hidden_units in enumerate(dnn_hidden_units):
261 dnn_hidden_units,
284 dnn_hidden_units: List of hidden units per layer for DNN.
335 features, labels, mode, head, dnn_hidden_units, dnn_feature_columns,
351 dnn_hidden_units,
373 dnn_hidden_units: List of hidden units per layer for DNN.
429 features, labels, mode, head, dnn_hidden_units, dnn_feature_columns,
447 dnn_hidden_units,
[all...] |
| dnn_tree_combined_estimator_test.py | 72 dnn_hidden_units=[1],
88 dnn_hidden_units=[1],
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| boston_combined.py | 21 --dnn_hidden_units="8,4" --dnn_steps_to_train=1000 \
64 dnn_hidden_units=[int(x) for x in FLAGS.dnn_hidden_units.split(",")],
138 "--dnn_hidden_units",
|
| /external/tensorflow/tensorflow/tools/dist_test/python/ |
| census_widendeep.py | 240 dnn_hidden_units=[5],
|
