Deep Learning CNN Convolutional Neural Networks with Python - DNN Training Parameters
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary role of activation functions in neural networks?
To decrease the computational cost
To prevent the network from collapsing to a subset of units
To initialize weights
To increase the number of neurons
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of supervised learning, what is the main goal of training a model?
To minimize the loss between predicted and actual outputs
To maximize the number of features
To reduce the number of data points
To increase the complexity of the model
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a feature vector in machine learning?
A type of loss function
A collection of labels
A single data point with multiple attributes
A neural network layer
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a common loss function used in training models?
Mean Squared Error
Random Forest
Support Vector Machine
K-Nearest Neighbors
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is parameter optimization crucial in training machine learning models?
To simplify the model architecture
To ensure the model generalizes well to unseen data
To increase the number of layers
To decrease the size of the dataset
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main challenge in training neural networks?
Finding a closed-form solution for parameters
Reducing the number of neurons
Simplifying the model architecture
Increasing the dataset size
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do neural networks typically find the optimal parameters?
By reducing the number of features
By using a single iteration
By increasing the number of layers
Through multiple passes over the dataset
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