Assertion: recurrent neural network | /r/HasProperty | encoder
Facets:
Source sentences:
text: Usually, a sequence-to-sequence model consists of two recurrent neural networks: an encoder that processes the input and a decoder that produces the output.
text: A bidirectional recurrent neural network, known as an encoder, is used by the neural network to encode a source sentence for a second RNN, known as a decoder, that is used to predict words in the target language.