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Recurrent Neural Networks (RNN)
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Recurrent Neural Networks (RNN) : Sequence Prediction :: Convolutional Neural Networks (CNN) : ?

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Learning Path

Question & Answer
1
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2
Review Options
3
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4
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Choose AnswerChoose the Best Answer

A

Image Classification

B

Text Generation

C

Time Series Analysis

D

Speech Recognition

Understanding the Answer

Let's break down why this is correct

CNNs use tiny filters that slide over an image and detect local shapes. Other options are incorrect because Text generation is a task for RNNs, because RNNs remember past words; Time series data needs memory of previous points.

Key Concepts

Recurrent Neural Networks (RNN)
Convolutional Neural Networks (CNN)
Sequence Modeling
Topic

Recurrent Neural Networks (RNN)

Difficulty

medium level question

Cognitive Level

understand

Deep Dive: Recurrent Neural Networks (RNN)

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Definition
Definition

Recurrent neural networks, including LSTM and gated recurrent networks, have been widely used for sequence modeling and transduction tasks. These networks factor computation along symbol positions and generate hidden states sequentially, limiting parallelization and efficiency.

Topic Definition

Recurrent neural networks, including LSTM and gated recurrent networks, have been widely used for sequence modeling and transduction tasks. These networks factor computation along symbol positions and generate hidden states sequentially, limiting parallelization and efficiency.

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