You are building a machine learning model for translating English language textual content into French language textual content. You need to build and train the machine learning model to learn the…

The correct answer is C. Recurrent Neural Networks (RNNs). To translate a corpus of English text to French, we need to build a recurrent neural network Note: RNNs are designed to take sequences of text as inputs or return sequences of text as outputs, or both. They're called recurrent because the network's hidden layers have a loop in…

Design and prepare a machine learning solution

Question

You are building a machine learning model for translating English language textual content into French language textual content. You need to build and train the machine learning model to learn the sequence of the textual content. Which type of neural network should you use?

Options

AMultilayer Perceptions (MLPs)
BConvolutional Neural Networks (CNNs)
CRecurrent Neural Networks (RNNs)
DGenerative Adversarial Networks (GANs)

How the community answered

(34 responses)

A
3% (1)
B
3% (1)
C
85% (29)
D
9% (3)

Explanation

To translate a corpus of English text to French, we need to build a recurrent neural network Note: RNNs are designed to take sequences of text as inputs or return sequences of text as outputs, or both. They're called recurrent because the network's hidden layers have a loop in which the output and cell state from each time step become inputs at the next time step. This recurrence serves as a form of memory. It allows contextual information to flow through the network so that relevant outputs from previous time steps can be applied to network operations at the current time step. https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571

Topics

#Neural Networks#RNNs#Machine Translation#Deep Learning Architectures

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