Deep Learning - Q1
Quiz
•
Computers
•
University
•
Practice Problem
•
Hard
Jhun Brian Andam
Used 4+ times
FREE Resource
Enhance your content in a minute
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a neural network composed of?
python
Layers, neurons, and weights
Activation function only
Bias terms only
None of the options
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which activation function is commonly used in hidden layers?
Sigmoid
ReLu
TanH
Softmax
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A multi-layer linear model is just a neural network without an activation function.
True
False
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a multi-layer linear model without activation functions, the intermediate layers are redundant, thus, useless.
True
False
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the `loss.backward()` function?
To calculate loss
To perform backpropagation
To update weights
To initialize gradients
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Choose the option that best describes what is happening in the code.
Data preprocessing
Model evaluation
Model training
Data augmentation
7.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Choose the options that are true about using non-linear functions in neural networks.
Non-linear functions allow neural networks to model complex relationships.
Non-linear functions reduce the need for multiple layers in a network.
Without non-linear functions, a neural network behaves like a single-layer linear model.
Using non-linear functions guarantees higher accuracy in every problem.
4o
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