What is the name of the machine learning technique that allows a neural network to focus on specific parts of an input sequence?Attention mechanismConvolutional neural network (CNN)Encoder-decoderLong Short-Term Memory (LSTM)

What is the name of the machine learning architecture that takes a sequence of words as input and outputs a sequence of words?Regressive neural networkingCollaborative natural networkEncoder-decoderLarge stream text manipulation

What is the advantage of using the attention mechanism over a traditional sequence-to-sequence model?The attention mechanism reduces the computation time of prediction.The attention mechanism lets the model formulate parallel outputs.The attention mechanism lets the model learn only short term dependencies.The attention mechanism lets the model focus on specific parts of the input sequence.

Recurrent Artificial Neural NetworksRecurrent Artificial Neural Networks (RNNs) are a type of neural network architecture that is designed to handle sequential data by introducing connections between units in the network that form directed cycles. This cyclic structure allows information to persist over time and enables the network to exhibit dynamic temporal behavior.In contrast to feedforward neural networks, where information flows in one direction from input to output, RNNs have connections that loop back on themselves, allowing them to maintain an internal state or memory of previous inputs. This makes them well-suited for tasks that involve sequential data or time series, such as natural language processing, speech recognition, and time series prediction. The basic unit of an RNN is called a recurrent neuron or a recurrent unit.

What is the name of the machine learning architecture that can be used to translate text from one language to another?Encoder-decoderConvolutional neural network (CNN)Neural networkLong Short-Term Memory (LSTM)

Which layer type is commonly used in RNNs for sequence-to-sequence tasks?Question 31Answera.Hidden layerb.Attention layerc.Input layerd.Output layer