Which problem in RNNs does LSTM help to address?High varianceVanishing gradientOverfittingAll of the options givenBias

Question

Which problem in RNNs does LSTM help to address?High varianceVanishing gradientOverfittingAll of the options givenBias
🧐 Not the exact question you are looking for?Go ask a question

Solution 1

LSTM (Long Short-Term Memory) helps to address the problem of vanishing gradient in Recurrent Neural Networks (RNNs).

Here's a step-by-step explanation:

  1. RNNs suffer from the vanishing gradient problem, where the contribution of information decays geometrically over time. This makes it difficul Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv

This problem has been solved

Similar Questions

Which problem in RNNs does LSTM help to address?High varianceVanishing gradientOverfittingAll of the options givenBias

In NLP, what does RNNs help to predict?Next song noteNext imageNext video frameNext wordNone of the options given

Which problem arises when training RNNs on long sequences?All of the given optionsUnderfittingVanishing or exploding gradientsOverfittingHigh bias

Which of the following is NOT a typical use case for RNNs?Text generationSpeech recognitionImage classificationTime series predictionNone of the given options

Which phase in the design thinking process involves defining the problem you want to solve?OPTIONS Ideation Prototyping Empathize Define

1/3