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 networkingLarge stream text manipulationCollaborative natural networkEncoder-decoder

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

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

Which of the following is a common architecture used for sequence learning in deep learning? Convolutional Neural Networks (CNNs) Autoencoders Recurrent Neural Networks (RNNs) Generative Adversarial Networks (GANs)

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 process of encoding text data into vectors called?Training a deep learning model.Building a text index.Generating text embeddings.Serving the search results