Deep Learning with Python (Video 19)

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Information Technology (IT), Architecture, Other
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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 the main reason people are hopeful about TensorFlow's future performance?
It is already faster than Theano.
It is developed by a large community.
It is the only open-source library.
It is developed by Google.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a feature inspired by Theano in TensorFlow?
Automatic differentiation
Python API
Symbolic computation
Graph visualization
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the recommended method for installing TensorFlow in a virtual environment?
Using a Docker container
Using pip install without superuser permissions
Compiling from source
Using a package manager
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where can you find introductory tutorials and examples for TensorFlow?
On the official TensorFlow website
In online forums
In the TensorFlow GitHub repository
In the TensorFlow documentation
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key advantage of TensorFlow over Theano?
It has better community support.
It supports more programming languages.
It compiles symbolic graphs faster.
It has a simpler syntax.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you switch Keras to use TensorFlow as its backend?
By reinstalling Keras
By updating the Keras library
By using a different Python version
By changing a setting in keras.json
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the final challenge in the course related to?
Optimizing TensorFlow performance
Building a neural network from scratch
Creating an automatic image captioning system
Developing a new machine learning library
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