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    Searched refs:SimpleRNNCell (Results 1 - 9 of 9) sorted by null

  /external/tensorflow/tensorflow/python/feature_column/
sequence_feature_column.py 73 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
222 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
271 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
319 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
383 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
442 rnn_cell = tf.keras.layers.SimpleRNNCell(hidden_size)
sequence_feature_column_integration_test.py 99 rnn_layer = recurrent.RNN(recurrent.SimpleRNNCell(10))
  /external/tensorflow/tensorflow/contrib/feature_column/python/feature_column/
sequence_feature_column_integration_test.py 97 rnn_layer = recurrent.RNN(recurrent.SimpleRNNCell(10))
  /external/tensorflow/tensorflow/python/kernel_tests/
rnn_test.py 376 cell = keras.layers.SimpleRNNCell(output_shape)
527 cell = keras.layers.SimpleRNNCell(output_shape)
563 fix_weights_generator = keras.layers.SimpleRNNCell(output_shape)
570 cell = keras.layers.SimpleRNNCell(output_shape)
578 cell = keras.layers.SimpleRNNCell(output_shape)
597 fix_weights_generator = keras.layers.SimpleRNNCell(output_shape)
599 # The SimpleRNNCell contains 3 weights: kernel, recurrent_kernel, and bias
601 # zipped [kernel, recurrent_kernel] in SimpleRNNCell.
609 cell = keras.layers.SimpleRNNCell(output_shape)
    [all...]
rnn_cell_test.py     [all...]
  /external/tensorflow/tensorflow/python/keras/layers/
recurrent_test.py 316 cells = [keras.layers.SimpleRNNCell(cell_units[i]) for i in range(3)]
683 for cell_class in [keras.layers.SimpleRNNCell,
753 cell=[keras.layers.SimpleRNNCell, keras.layers.GRUCell,
    [all...]
__init__.py 151 from tensorflow.python.keras.layers.recurrent import SimpleRNNCell
recurrent.py     [all...]
wrappers_test.py 287 keras.layers.RNN(keras.layers.SimpleRNNCell(10), stateful=True))

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