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Deep Learning - Ms. Marwa

Authored by Reem Aljuhani

Computers

University

Used 1+ times

Deep Learning - Ms. Marwa
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20 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which deep learning architecture is suitable for learning hierarchical features and patterns?

Feedforward Neural Network

Radial Basis Function Network

Deep Belief Network

Echo State Network

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the purpose of the learning rate in gradient descent optimization?

Controlling the step size during weight updates

Initializing weights in the network

Regularizing the model

Defining the number of iterations

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which technique is used for reducing dimensionality and capturing essential features in unsupervised learning?

Principal Component Analysis (PCA)

K-means clustering

Decision trees

Naive Bayes

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is a popular deep learning framework developed by Facebook AI Research (FAIR)?

TensorFlow

PyTorch

Keras

Theano

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the purpose of the Adam optimizer in deep learning?

Weight initialization

Momentum-based optimization

Batch normalization

Gradient clipping

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the primary purpose of activation functions in deep learning?

Weight initialization

Gradient descent optimization

Introducing non-linearity

Regularization

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

In deep learning, what is the purpose of dropout regularization?

Enhancing model interpretability

Reducing overfitting

Accelerating training speed

Increasing model complexity

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