Learning Path
Question & Answer
Choose the Best Answer
Input data → Generate hidden state → Output prediction
Generate hidden state → Input data → Output prediction
Output prediction → Input data → Generate hidden state
Input data → Output prediction → Generate hidden state
Understanding the Answer
Let's break down why this is correct
An RNN reads the sequence one piece at a time. Other options are incorrect because It sounds like the RNN could know something before seeing any data, but it cannot; The prediction cannot come before any data.
Key Concepts
Recurrent Neural Networks (RNN)
hard level question
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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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