Searched refs:SimpleRNN (Results 1 – 13 of 13) sorted by relevance
/external/tensorflow/tensorflow/python/keras/layers/ |
D | simplernn_test.py | 40 keras.layers.SimpleRNN, 50 layer = keras.layers.SimpleRNN(units, input_shape=(None, embedding_dim)) 64 keras.layers.SimpleRNN, 77 keras.layers.SimpleRNN, 84 layer_class = keras.layers.SimpleRNN 102 layer_class = keras.layers.SimpleRNN 113 layer_class = keras.layers.SimpleRNN 121 layer_class = keras.layers.SimpleRNN 146 layer_class = keras.layers.SimpleRNN
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D | wrappers_test.py | 203 keras.layers.SimpleRNN(7, return_sequences=True))) 205 keras.layers.SimpleRNN(8, return_sequences=False))) 206 model.add(keras.layers.SimpleRNN(1, return_sequences=False)) 298 rnn = keras.layers.SimpleRNN 343 rnn = keras.layers.SimpleRNN 362 rnn = keras.layers.SimpleRNN 394 rnn = keras.layers.SimpleRNN 535 layer = keras.layers.Bidirectional(keras.layers.SimpleRNN(3)) 550 layer = keras.layers.Bidirectional(keras.layers.SimpleRNN(3)) 568 keras.layers.SimpleRNN(
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D | recurrent_test.py | 291 layer = keras.layers.SimpleRNN( 336 rnn = keras.layers.SimpleRNN( 350 rnn_1 = keras.layers.SimpleRNN(units, return_sequences=True) 367 rnn_2 = keras.layers.SimpleRNN( 642 layer_class = keras.layers.SimpleRNN 661 layer_class = keras.layers.SimpleRNN 735 layer=[rnn_v1.SimpleRNN, rnn_v1.GRU, rnn_v1.LSTM, 776 rnn = keras.layers.SimpleRNN(3, 836 rnn = keras.layers.SimpleRNN 1323 simple_rnn = keras.layers.SimpleRNN(1, stateful=True) [all …]
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D | __init__.py | 155 from tensorflow.python.keras.layers.recurrent import SimpleRNN
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D | recurrent.py | 1292 class SimpleRNN(RNN): class 1397 super(SimpleRNN, self).__init__( 1411 return super(SimpleRNN, self).call( 1503 base_config = super(SimpleRNN, self).get_config()
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/external/libopus/scripts/ |
D | rnn_train.py | 11 from keras.layers import SimpleRNN
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 1 path: "tensorflow.keras.layers.SimpleRNN" 3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>"
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D | tensorflow.keras.layers.pbtxt | 340 name: "SimpleRNN"
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 1 path: "tensorflow.keras.layers.SimpleRNN" 3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>"
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D | tensorflow.keras.layers.pbtxt | 336 name: "SimpleRNN"
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | multi_gpu_utils_test.py | 191 outputs = keras.layers.SimpleRNN(
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/external/tensorflow/tensorflow/contrib/keras/api/keras/layers/ |
D | __init__.py | 137 from tensorflow.python.keras.layers.recurrent import SimpleRNN
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | hdf5_format_test.py | 107 (keras.layers.Bidirectional(keras.layers.SimpleRNN(2))),
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