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Question & Answer
Choose the Best Answer
By using a single activation function for all nodes
By selectively forgetting irrelevant information and maintaining important features
By increasing the number of hidden layers in the network
By processing all data at once without any temporal consideration
Understanding the Answer
Let's break down why this is correct
GRUs use gating mechanisms that decide how much past information to keep and how much new input to accept. Other options are incorrect because The idea that a single activation function is used for all nodes is a misconception; Adding more hidden layers does not describe what GRUs do.
Key Concepts
Recurrent Neural Networks (RNN)
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Deep Dive: Recurrent Neural Networks (RNN)
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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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