Answered: In neural networks, what is the forward…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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In neural networks, what is the forward propagation through time in recurrent?

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Each layer's output in recurrent neural networks is fed back into its own input at the following time step. As a result, a feedback loop is created, enabling the network to keep track of prior inputs. Recurrent neural networks function well with time series data because of their ability to remember past inputs and make predictions based on them.

If the temporal links are very long-term, the network's limited ability to look back a finite number of time steps can be a disadvantage. To circumvent this problem, more advanced recurrent neural networks with long short-term memory (LSTM) and recurrent gates (GRUs) have been developed.

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