tf.contrib.rnn.AttentionCellWrapper.
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.AttentionCellWrapper.__call__(inputs, state, scope=None) Long short-term memory cell with attention (LSTMA).

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tf.contrib.rnn.LayerNormBasicLSTMCell
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

class tf.contrib.rnn.LayerNormBasicLSTMCell LSTM unit with layer normalization and recurrent dropout. This

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tf.contrib.rnn.LSTMBlockCell.output_size
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.LSTMBlockCell.output_size

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tf.contrib.rnn.GridLSTMCell
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

class tf.contrib.rnn.GridLSTMCell Grid Long short-term memory unit (LSTM) recurrent network cell. The

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tf.contrib.rnn.LSTMBlockCell.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.LSTMBlockCell.state_size

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tf.contrib.rnn.AttentionCellWrapper.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.AttentionCellWrapper.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

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tf.contrib.rnn.TimeFreqLSTMCell
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

class tf.contrib.rnn.TimeFreqLSTMCell Time-Frequency Long short-term memory unit (LSTM) recurrent network cell.

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tf.contrib.rnn.LayerNormBasicLSTMCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.LayerNormBasicLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

2025-01-10 15:47:30
tf.contrib.rnn.AttentionCellWrapper.output_size
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.AttentionCellWrapper.output_size

2025-01-10 15:47:30
tf.contrib.rnn.GridLSTMCell.output_size
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.GridLSTMCell.output_size

2025-01-10 15:47:30