Foundations of Deep Learning and Neural Networks

Passage
•
Computers
•
Professional Development
•
Hard
Ragad Ahmad
Used 2+ times
FREE Resource
15 questions
Show all answers
1.
FILL IN THE BLANK QUESTION
1 min • 1 pt
What is deep learning? Provide a brief definition and explain its fundamental principle.
Answer explanation
Deep learning is a subset of machine learning that uses neural networks with multiple layers to learn complex patterns and representations from data.
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following applications is suitable for deep learning?
a. Text editing
b. Image recognition
c. Financial calculations
d. 3D printing
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What type of applications is deep learning most suitable for?
a. Text editing
b. Image recognition
c. Financial calculations
d. 3D printing
4.
MULTIPLE CHOICE QUESTION
1 min • 3 pts
Which area benefits the most from deep learning technology?
a. Healthcare
b. Agriculture
c. Construction
d. Retail
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is a common use case for deep learning in the field of robotics?
a. Autonomous navigation
b. Music composition
c. Weather forecasting
d. Sports analysis
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the difference between a list and a tuple in Python?
List (list): Represents an ordered collection of items that can be changed or modified. Lists are defined by square brackets, e.g., [1, 'hello', 3.14].
Tuple (tuple): Represents an ordered collection of items that cannot be changed or modified. Tuples are defined by parentheses, e.g., (1, 'hello', 3.14).
Dictionary (dict): Represents a collection of key-value pairs. Dictionaries are defined by curly braces, e.g., {'key1': 'value1', 'key2': 'value2'}.
both a and b
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
The tool that allows you to execute code and analyze data interactively is:
TensorFlow
Anaconda
c. Jupyter Notebook
d. Keras
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