tf.nn.rnn_cell.EmbeddingWrapper.__init__()

tf.nn.rnn_cell.EmbeddingWrapper.__init__(cell, embedding_classes, embedding_size, initializer=None)

Create a cell with an added input embedding.

Args:

• cell: an RNNCell, an embedding will be put before its inputs.
• embedding_classes: integer, how many symbols will be embedded.
• embedding_size: integer, the size of the vectors we embed into.
• initializer: an initializer to use when creating the embedding; if None, the initializer from variable scope or a default one is used.

Raises:

• TypeError: if cell is not an RNNCell.
• ValueError: if embedding_classes is not positive.