Deep Learning with Python (Video 14)

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key difference between recurrent neural networks and models used for image classification?
RNNs handle independent inputs and outputs.
RNNs have an internal state that considers context.
Image classification models use recurrent layers.
Image classification models are used for text analysis.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of generating a Fibonacci sequence, what is the role of the step function in a Python for loop?
It compiles the loop into a function.
It determines the length of the sequence.
It defines how the state changes in each iteration.
It initializes the sequence.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the scan module in Theano?
To implement loops by iterating over sequences.
To handle independent inputs and outputs.
To compile Python code into Theano functions.
To generate random numbers in loops.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which parameter in Theano's scan module specifies the number of iterations for a loop?
sequences
outputs_info
non_sequences
n_steps
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of placeholders in Theano when implementing a loop?
They determine the number of iterations.
They store the final output of the loop.
They compile the loop into a function.
They define the initial states for the loop.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Theano handle updates within a loop?
By ignoring updates during compilation.
By using a separate update function.
By storing updates in a list returned by scan.
By compiling updates into the main function.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of compiling a Theano function for a Fibonacci sequence?
A compiled Python script.
A single list of Fibonacci numbers.
Two lists representing different states.
A random sequence of numbers.
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