Which type of neural network is specifically designed to handle sequences of data, such as time series or natural language?
- Convolutional Neural Network
- Recurrent Neural Network (RNN)
- Multilayer Perceptron (MLP)
- Decision Tree
Recurrent Neural Networks (RNNs) are specifically designed to handle sequential data, where the order of inputs matters. They are widely used in tasks like natural language processing, speech recognition, and time series analysis, thanks to their ability to retain and process information from previous inputs in the sequence.
Loading...
Related Quiz
- In the context of Big Data, which system is designed to provide high availability and fault tolerance by replicating data blocks across multiple nodes?
- Which data warehousing schema involves a central fact table and a set of dimension tables?
- The process of organizing data to minimize redundancy and avoid undesirable characteristics like insertion, update, and deletion anomalies is called _______.
- While preparing data for a machine learning model, you realize that the 'Height' column has some missing values. Upon closer inspection, you find that these missing values often correspond to records where the 'Age' column has values less than 1 year. What might be a reasonable way to handle these missing values?
- The range of a dataset is calculated by taking the difference between the maximum and the _______ value.