Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
A
They convert input sequences into output sequences using attention mechanisms.
B
They solely rely on recurrent neural networks to memorize sequences.
C
They are used exclusively for image recognition tasks.
D
They generate fixed-length outputs regardless of input length.
Understanding the Answer
Let's break down why this is correct
Answer
Sequence transduction models take a list of words, sounds, or characters as input and produce another list of words, sounds, or characters as output, while keeping the overall meaning. They learn how to rearrange, shorten, or lengthen the sequence so that the output matches the task, such as translating a sentence or summarizing a paragraph. The model is trained on many pairs of input and output sequences so it can guess the best output for a new input. For example, if the input is “I love cats,” the model might output “Me encanta los gatos,” translating the sentence into Spanish. Thus, their main job is to convert one sequence into another that conveys the same idea in a different form.
Detailed Explanation
Sequence transduction models read an input list of words and produce a new list of words. Other options are incorrect because Many people think these models only use recurrent neural networks (RNNs) to remember words; Some think sequence transduction models are only for images.
Key Concepts
Sequence Transduction Models
Attention Mechanisms
Neural Networks
Topic
Sequence Transduction Models
Difficulty
medium level question
Cognitive Level
understand
Practice Similar Questions
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Question 3Sequence Transduction Models : Neural Networks :: Machine Translation : ?
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Question 4Which of the following statements accurately describe the capabilities and functions of sequence transduction models? Select all that apply.
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Question 5What is the primary function of sequence transduction models in neural networks?
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Question 6Which of the following statements best describes the function of sequence transduction models in natural language processing?
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Question 7How does transfer learning enhance the performance of sequence transduction models in natural language processing tasks?
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Question 8Sequence Transduction Models : Neural Networks :: Machine Translation : ?
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Question 9Which of the following statements accurately describe the capabilities and functions of sequence transduction models? Select all that apply.
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Question 10What is the primary function of sequence transduction models in neural networks?
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