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Answer: Recurrent Neural Networks (RNNs)
The question requires a neural network that can learn sequences of text for language translation, which is a sequence-to-sequence (seq2seq) task. Recurrent Neural Networks (RNNs) are specifically designed for sequential data processing due to their internal memory mechanism, where outputs from previous time steps influence current computations. This makes them ideal for natural language processing tasks like translation. The community discussion shows 100% consensus on option C, with explanations highlighting that RNNs handle sequence data effectively, while MLPs (A) are general-purpose networks without sequence awareness, CNNs (B) are primarily for image data, and GANs (D) are for generative tasks like image synthesis, not sequence learning for translation.
Author: LeetQuiz Editorial Team
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You are building a machine learning model to translate English text into French text. You need the model to learn the sequence of the text.
Which type of neural network should you use?
A
Multilayer Perceptions (MLPs)
B
Convolutional Neural Networks (CNNs)
C
Recurrent Neural Networks (RNNs)
D
Generative Adversarial Networks (GANs)
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