Sequence Models on English AI Terms Dictionary

Recurrent Neural Network

Sat, 18 Jul 2026 09:42:48 +0000

Definition

RNNs are designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or spoken words. Unlike feedforward networks, they have internal memory that captures information about what has been processed so far. This makes them particularly effective for time-series prediction, natural language processing, and speech recognition tasks where context from previous steps is crucial.

Summary

An RNN is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence.

Temporal

Sat, 18 Jul 2026 09:37:05 +0000

Definition

Temporal concepts in AI involve analyzing data points ordered in time, such as stock prices, sensor readings, or natural language sentences. Models handling temporal data must account for sequence order and timing dependencies. Common architectures include Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and Transformers, which are designed to process sequential inputs and capture long-range temporal dependencies effectively.

Summary

Temporal relates to time sequences, focusing on how data changes or dependencies evolve over time.