The correct answer is C. To model sequential data.
A recurrent neural network (RNN) is a type of artificial neural network that is capable of processing sequential data. This means that RNNs can learn to predict the next element in a sequence based on the previous elements. RNNs are often used for tasks such as natural language processing and speech recognition.
Option A is incorrect because the goal of a recurrent neural network is not to maximize the margin between classes. The margin between classes is a measure of how well a classifier can distinguish between different classes. However, this is not the primary goal of an RNN.
Option B is incorrect because the goal of a recurrent neural network is not to minimize prediction errors. The goal of a classifier is to minimize prediction errors, but this is not the primary goal of an RNN.
Option D is incorrect because the goal of a recurrent neural network is not to visualize data relationships. The goal of a visualization algorithm is to visualize data relationships, but this is not the primary goal of an RNN.