Search⌘ K
AI Features

Recurrent Neural Networks

Learn about Recurrent Neural Networks (RNNs), including their architecture, sequence modeling with feedback loops, and types such as one-to-one and many-to-many. Understand their applications in language processing and time series prediction, alongside limitations like the vanishing gradient problem and solutions such as LSTM and GRU.

Recurrence

Recurrence is a mathematical relationship that expresses the current value of a variable or a function in terms of its previous values. As an instance, for constants aa and b:b:

This equation presents the current value of the variable yy at time instant nn in terms of its previous NN values, and M+1 ...