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NEW QUESTION: 1

A. Option A
B. Option C
C. Option D
D. Option B
Answer: C

NEW QUESTION: 2
What is the Extensible Markup Language (XML)?
A. a language used to reproduce print jobs as link or toner on paper or other media
B. a markup language that defines rules for encoding documents for humans and machines to read
C. a language used by printers to draw objects
D. a machine language that software developers use to create software
Answer: B

NEW QUESTION: 3
DRAG DROP
Click the Task button.

Answer:
Explanation:

NEW QUESTION: 4
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?
A. Multilayer Perceptions (MLPs)
B. Recurrent Neural Networks (RNNs)
C. Generative Adversarial Networks (GANs)
D. Convolutional Neural Networks (CNNs)
Answer: B
Explanation:
Explanation
To translate a corpus of English text to French, we need to build a recurrent neural network (RNN).
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.
References:
https://towardsdatascience.com/language-translation-with-rnns-d84d43b40571