Searched defs:keras (Results 1 - 25 of 54) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
H A Dserialization_test.py21 from tensorflow.python.keras._impl import keras namespace
28 layer = keras.layers.Dense(
30 config = keras.layers.serialize(layer)
31 new_layer = keras.layers.deserialize(config)
32 self.assertEqual(new_layer.activation, keras.activations.relu)
34 keras.regularizers.L1L2)
36 keras.initializers.Ones)
H A Dembeddings_test.py21 from tensorflow.python.keras._impl import keras namespace
22 from tensorflow.python.keras._impl.keras import testing_utils
31 keras.layers.Embedding,
41 keras.layers.Embedding,
51 keras.layers.Embedding,
61 keras.layers.Embedding,
H A Dnoise_test.py21 from tensorflow.python.keras._impl import keras namespace
22 from tensorflow.python.keras._impl.keras import testing_utils
31 keras.layers.GaussianNoise,
38 keras.layers.GaussianDropout,
45 keras.layers.AlphaDropout,
H A Dadvanced_activations_test.py21 from tensorflow.python.keras._impl import keras namespace
22 from tensorflow.python.keras._impl.keras import testing_utils
31 testing_utils.layer_test(keras.layers.LeakyReLU,
37 testing_utils.layer_test(keras.layers.PReLU, kwargs={},
42 testing_utils.layer_test(keras.layers.PReLU,
49 testing_utils.layer_test(keras.layers.ELU,
55 testing_utils.layer_test(keras.layers.ThresholdedReLU,
61 testing_utils.layer_test(keras
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H A Dconvolutional_recurrent_test.py23 from tensorflow.python.keras._impl import keras namespace
24 from tensorflow.python.keras._impl.keras import testing_utils
52 x = keras.Input(batch_shape=inputs.shape)
60 layer = keras.layers.ConvLSTM2D(**kwargs)
65 model = keras.models.Model(x, states[0])
68 keras.backend.eval(layer.states[0]), state, atol=1e-4)
72 keras.layers.ConvLSTM2D,
95 model = keras
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H A Dlocal_test.py23 from tensorflow.python.keras._impl import keras namespace
24 from tensorflow.python.keras._impl.keras import testing_utils
44 keras.layers.LocallyConnected1D,
68 layer = keras.layers.LocallyConnected1D(**kwargs)
72 keras.backend.variable(np.ones((num_samples, num_steps, input_dim))))
75 k_constraint = keras.constraints.max_norm(0.01)
76 b_constraint = keras.constraints.max_norm(0.01)
84 layer = keras
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H A Dnormalization_test.py23 from tensorflow.python.keras._impl import keras namespace
24 from tensorflow.python.keras._impl.keras import testing_utils
33 keras.layers.BatchNormalization,
37 'gamma_regularizer': keras.regularizers.l2(0.01),
38 'beta_regularizer': keras.regularizers.l2(0.01)
42 keras.layers.BatchNormalization,
51 keras.layers.BatchNormalization,
58 layer = keras
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/external/tensorflow/tensorflow/python/keras/_impl/keras/applications/
H A Dresnet50_test.py21 from tensorflow.python.keras._impl import keras namespace
28 model = keras.applications.ResNet50(weights=None)
32 model = keras.applications.ResNet50(weights=None, include_top=False)
36 model = keras.applications.ResNet50(weights=None,
43 keras.applications.ResNet50(weights='unknown',
47 keras.applications.ResNet50(weights='imagenet',
H A Dvgg16_test.py21 from tensorflow.python.keras._impl import keras namespace
28 model = keras.applications.VGG16(weights=None)
32 model = keras.applications.VGG16(weights=None, include_top=False)
36 model = keras.applications.VGG16(weights=None,
43 keras.applications.VGG16(weights='unknown',
46 keras.applications.VGG16(weights='imagenet',
H A Dvgg19_test.py21 from tensorflow.python.keras._impl import keras namespace
28 model = keras.applications.VGG19(weights=None)
32 model = keras.applications.VGG19(weights=None, include_top=False)
36 model = keras.applications.VGG19(weights=None,
43 keras.applications.VGG19(weights='unknown',
46 keras.applications.VGG19(weights='imagenet',
H A Ddensenet_test.py21 from tensorflow.python.keras._impl import keras namespace
28 model = keras.applications.DenseNet121(weights=None)
32 model = keras.applications.DenseNet121(weights=None, include_top=False)
36 model = keras.applications.DenseNet121(weights=None,
43 keras.applications.DenseNet121(weights='unknown',
46 keras.applications.DenseNet121(weights='imagenet',
53 model = keras.applications.DenseNet169(weights=None)
57 model = keras.applications.DenseNet169(weights=None, include_top=False)
61 model = keras
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H A Dimagenet_utils_test.py23 from tensorflow.python.keras._impl import keras namespace
24 from tensorflow.python.keras._impl.keras.applications.imagenet_utils import preprocess_input
48 inputs = keras.layers.Input(shape=x.shape[1:])
49 outputs = keras.layers.Lambda(
51 model = keras.models.Model(inputs, outputs)
54 outputs1 = keras.layers.Lambda(lambda x:
57 model1 = keras.models.Model(inputs, outputs1)
60 inputs2 = keras
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H A Dinception_resnet_v2_test.py23 from tensorflow.python.keras._impl import keras namespace
30 model = keras.applications.InceptionResNetV2(weights=None)
34 model = keras.applications.InceptionResNetV2(weights=None,
39 model = keras.applications.InceptionResNetV2(weights=None,
46 keras.applications.InceptionResNetV2(weights='unknown',
49 keras.applications.InceptionResNetV2(weights='imagenet',
54 out1 = keras.applications.inception_resnet_v2.preprocess_input(x)
H A Dinception_v3_test.py23 from tensorflow.python.keras._impl import keras namespace
30 model = keras.applications.InceptionV3(weights=None)
34 model = keras.applications.InceptionV3(weights=None, include_top=False)
38 model = keras.applications.InceptionV3(weights=None,
45 keras.applications.InceptionV3(weights='unknown',
48 keras.applications.InceptionV3(weights='imagenet',
53 out1 = keras.applications.inception_v3.preprocess_input(x)
H A Dmobilenet_test.py23 from tensorflow.python.keras._impl import keras namespace
30 model = keras.applications.MobileNet(weights=None)
34 model = keras.applications.MobileNet(weights=None, include_top=False)
38 model = keras.applications.MobileNet(weights=None,
45 keras.applications.MobileNet(weights='unknown',
48 keras.applications.MobileNet(weights='imagenet',
53 out1 = keras.applications.mobilenet.preprocess_input(x)
57 keras.backend.set_image_data_format('channels_first')
58 model = keras
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H A Dnasnet_test.py21 from tensorflow.python.keras._impl import keras namespace
28 model = keras.applications.NASNetMobile(weights=None)
32 model = keras.applications.NASNetMobile(weights=None, include_top=False)
36 model = keras.applications.NASNetMobile(weights=None,
43 keras.applications.NASNetMobile(weights='unknown',
46 keras.applications.NASNetMobile(weights='imagenet',
53 model = keras.applications.NASNetLarge(weights=None)
57 model = keras.applications.NASNetLarge(weights=None, include_top=False)
61 model = keras
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H A Dxception_test.py23 from tensorflow.python.keras._impl import keras namespace
30 model = keras.applications.Xception(weights=None)
34 model = keras.applications.Xception(weights=None, include_top=False)
38 model = keras.applications.Xception(weights=None,
45 keras.applications.Xception(weights='unknown',
48 keras.applications.Xception(weights='imagenet',
53 out1 = keras.applications.xception.preprocess_input(x)
/external/tensorflow/tensorflow/python/keras/_impl/keras/
H A Dtesting_utils.py24 from tensorflow.python.keras._impl import keras namespace
106 x = keras.layers.Input(shape=input_shape[1:], dtype=input_dtype)
108 if keras.backend.dtype(y) != expected_output_dtype:
113 keras.backend.dtype(y),
117 model = keras.models.Model(x, y)
140 recovered_model = keras.models.Model.from_config(model_config)
156 model = keras.models.Sequential()
177 recovered_model = keras.models.Sequential.from_config(model_config)
H A Dconstraints_test.py23 from tensorflow.python.keras._impl import keras namespace
44 fn = keras.constraints.get(name)
45 ref_fn = getattr(keras.constraints, name)()
47 config = keras.constraints.serialize(fn)
48 fn = keras.constraints.deserialize(config)
55 norm_instance = keras.constraints.max_norm(m)
56 normed = norm_instance(keras.backend.variable(array))
57 assert np.all(keras.backend.eval(normed) < m)
60 norm_instance = keras
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H A Dregularizers_test.py21 from tensorflow.python.keras._impl import keras namespace
22 from tensorflow.python.keras._impl.keras import testing_utils
36 y_train = keras.utils.to_categorical(y_train, NUM_CLASSES)
37 y_test = keras.utils.to_categorical(y_test, NUM_CLASSES)
42 model = keras.models.Sequential()
43 model.add(keras.layers.Dense(NUM_CLASSES,
55 for reg in [keras.regularizers.l1(),
56 keras
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/external/tensorflow/tensorflow/python/keras/_impl/keras/utils/
H A Dnp_utils_test.py23 from tensorflow.python.keras._impl import keras namespace
39 keras.utils.to_categorical(label, num_classes) for label in labels]
H A Dtraining_utils_test.py23 from tensorflow.python.keras._impl import keras namespace
39 model = keras.models.Sequential()
40 model.add(keras.layers.Dense(hidden_dim,
42 model.add(keras.layers.Dense(output_dim))
47 parallel_model = keras.utils.multi_gpu_model(model, gpus=gpus)
51 parallel_model = keras.utils.multi_gpu_model(model, gpus=target_gpu_id)
67 input_a = keras.Input((input_dim_a,))
68 input_b = keras.Input((input_dim_b,))
69 a = keras
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H A Dgeneric_utils_test.py21 from tensorflow.python.keras._impl import keras namespace
40 self.assertTrue(keras.utils.generic_utils.has_arg(
42 self.assertFalse(keras.utils.generic_utils.has_arg(
44 self.assertTrue(keras.utils.generic_utils.has_arg(
46 self.assertFalse(keras.utils.generic_utils.has_arg(
48 self.assertTrue(keras.utils.generic_utils.has_arg(
50 self.assertFalse(keras.utils.generic_utils.has_arg(
52 self.assertTrue(keras.utils.generic_utils.has_arg(
66 with keras
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/external/tensorflow/tensorflow/python/keras/_impl/keras/preprocessing/
H A Dsequence_test.py23 from tensorflow.python.keras._impl import keras namespace
33 b = keras.preprocessing.sequence.pad_sequences(a, maxlen=3, padding='pre')
35 b = keras.preprocessing.sequence.pad_sequences(a, maxlen=3, padding='post')
39 b = keras.preprocessing.sequence.pad_sequences(
42 b = keras.preprocessing.sequence.pad_sequences(
47 b = keras.preprocessing.sequence.pad_sequences(a, maxlen=3, value=1)
54 b = keras.preprocessing.sequence.pad_sequences(a, maxlen=3, padding='pre')
57 b = keras.preprocessing.sequence.pad_sequences(a, maxlen=3, padding='post')
62 b = keras
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H A Dtext_test.py23 from tensorflow.python.keras._impl import keras namespace
31 encoded = keras.preprocessing.text.one_hot(text, 5)
38 encoded = keras.preprocessing.text.one_hot(text, 5)
49 tokenizer = keras.preprocessing.text.Tokenizer(num_words=10)
66 encoded = keras.preprocessing.text.hashing_trick(text, 5)
73 encoded = keras.preprocessing.text.hashing_trick(
84 tokenizer = keras.preprocessing.text.Tokenizer()
90 tokenizer = keras.preprocessing.text.Tokenizer(oov_token='<unk>')

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