(
    layer_sizes, dropout_keep_prob, residual, is_training)
return cells_fw, cells_bw
Build the Tensorflow graph for a bidirectional LSTM.
Build the Tensorflow graph for a bidirectional LSTM.
Build the Tensorflow graph for a bidirectional LSTM .
def build_bidirectional_lstm(
    layer_sizes, dropout_keep_prob, residual, is_training):
  """Build the Tensorflow graph for a bidirectional LSTM."""

  cells_fw = []
  cells_bw = []
  for layer_size in layer_sizes:
    cells_fw.append(
        rnn_cell([layer_size], dropout_keep_prob, residual, is_training))
    cells_bw.append(
        rnn_cell([layer_size], dropout_keep_prob, residual, is_training))

  return cells_fw, cells_bw
def build_bidirectional_lstm ( layer_sizes , dropout_keep_prob , residual , is_training ) : cells_fw = [ ] cells_bw = [ ] for layer_size in layer_sizes : cells_fw . append ( rnn_cell ( [ layer_size ] , dropout_keep_prob , residual , is_training ) ) cells_bw . append ( rnn_cell ( [ layer_size ] , dropout_keep_prob , residual , is_training ) ) return cells_fw , cells_bw