| /external/tensorflow/tensorflow/python/keras/ |
| D | testing_utils.py | 288 def get_small_sequential_mlp(num_hidden, num_classes, input_dim=None): argument
291 model.add(keras.layers.Dense(num_hidden, activation='relu',
294 model.add(keras.layers.Dense(num_hidden, activation='relu'))
300 def get_small_functional_mlp(num_hidden, num_classes, input_dim): argument
302 outputs = keras.layers.Dense(num_hidden, activation='relu')(inputs)
311 def __init__(self, num_hidden, num_classes): argument
313 self.layer_a = keras.layers.Dense(num_hidden, activation='relu')
325 def __init__(self, num_hidden, num_classes): argument
329 self.num_hidden = num_hidden
333 self.layer_a = keras.layers.Dense(self.num_hidden, activation='relu')
[all …]
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| D | optimizers_test.py | 34 def _get_model(input_dim, num_hidden, output_dim): argument
36 model.add(keras.layers.Dense(num_hidden,
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| D | callbacks_v1_test.py | 321 num_hidden=10, num_classes=10, input_dim=100)
371 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
482 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
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| D | callbacks_test.py | 447 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
505 num_hidden=1, num_classes=1, input_dim=1)
576 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
627 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
733 num_hidden=NUM_HIDDEN, num_classes=NUM_CLASSES, input_dim=INPUT_DIM)
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | sequential_test.py | 64 num_hidden = 5
70 num_hidden, num_classes, input_dim)
80 self.assertEqual(model.output_shape, (None, num_hidden))
85 y = np.random.random((batch_size, num_hidden))
90 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim))
102 num_hidden = 5
107 model = testing_utils.get_small_sequential_mlp(num_hidden, num_classes)
126 num_hidden = 5
132 model = testing_utils.get_small_sequential_mlp(num_hidden, num_classes)
274 num_hidden = 5
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| D | training_generator_test.py | 73 num_hidden=3, num_classes=4, input_dim=2)
113 num_hidden=3, num_classes=4, input_dim=2)
143 num_hidden=3, num_classes=4, input_dim=2)
178 num_hidden=3, num_classes=4, input_dim=2)
217 num_hidden=3, num_classes=4, input_dim=2)
258 num_hidden=10, num_classes=1, input_dim=10)
286 num_hidden=3, num_classes=4, input_dim=2)
318 num_hidden=10, num_classes=1, input_dim=10)
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| D | training_test.py | 86 num_hidden=10, num_classes=2, input_dim=3)
150 num_hidden=10, num_classes=2, input_dim=3)
157 num_hidden=10, num_classes=2, input_dim=3)
165 num_hidden=10, num_classes=2, input_dim=3)
173 num_hidden=10, num_classes=2, input_dim=3)
682 num_hidden=10, num_classes=num_classes, input_dim=input_dim)
1076 num_hidden=10, num_classes=num_classes, input_dim=input_dim)
1139 num_hidden=10, num_classes=num_classes, input_dim=input_dim)
1207 num_hidden=10, num_classes=num_classes, input_dim=input_dim)
2399 num_hidden=10, num_classes=num_classes, input_dim=input_dim)
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | optimizer_v2_test.py | 568 num_hidden = 5
570 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
575 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
642 num_hidden = 5
644 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
646 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
649 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
684 num_hidden = 5
686 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
688 num_hidden=num_hidden, num_classes=num_classes, input_dim=input_dim)
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| /external/antlr/runtime/Ruby/lib/antlr3/ |
| D | profile.rb | 304 num_hidden = input.tokens( starting_index, this_ref_index ).count { |t| t.hidden? }
305 depth = i + this_ref_index - starting_index - num_hidden
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | hdf5_format_test.py | 236 num_hidden = 5
243 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim))
252 model.add(keras.layers.Dense(num_hidden, input_dim=input_dim))
268 num_hidden = 5
273 ref_model.add(keras.layers.Dense(num_hidden, input_dim=input_dim,
285 model.add(keras.layers.Dense(num_hidden, use_bias=False,
306 num_hidden = 5
311 ref_model.add(keras.layers.Dense(num_hidden, input_dim=input_dim,
323 model.add(keras.layers.Dense(num_hidden + 5, input_dim=input_dim,
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| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 4_convolutions.ipynb | 248 "num_hidden = 64\n",
269 " [image_size // 4 * image_size // 4 * depth, num_hidden], stddev=0.1))\n",
270 " layer3_biases = tf.Variable(tf.constant(1.0, shape=[num_hidden]))\n",
272 " [num_hidden, num_labels], stddev=0.1))\n",
|