1. What is the primary purpose of a Convolutional Neural Network (CNN)?
a) Object detection
b) Image classification
c) Text generation
d) Reinforcement learning
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Neetu Singla
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1. What is the primary purpose of a Convolutional Neural Network (CNN)?
a) Object detection
b) Image classification
c) Text generation
d) Reinforcement learning
A
B
C
D
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which layer type is typically used to extract local features in a CNN?
a) Convolutional layer
b) Pooling layer
c) Fully connected layer
d) Activation layer
A
B
C
D
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the advantage of using convolutional layers in a CNN?
a) They can capture local spatial patterns in the input data
b) They can handle sequential data
c) They can generate synthetic data
d) They can handle variable-length inputs
A
B
C
D
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the pooling layer in a CNN?
a) To reduce the spatial dimensions of the feature maps
b) To introduce non-linearity to the network
c) To adjust the weights and biases of the network
d) To compute the gradients for backpropagation
A
B
C
D
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which activation function is commonly used in the convolutional layers of a CNN?
a) ReLU (Rectified Linear Unit)
b) Sigmoid
c) Tanh (Hyperbolic Tangent)
d) Softmax
A
B
C
D
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the stride parameter in a convolutional layer?
a) To determine the size of the receptive field
b) To control the step size of the convolution operation
c) To adjust the learning rate during training
d) None of the above
A
B
C
D
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which layer type is used to reduce the spatial dimensions in a CNN?
a) Convolutional layer
b) Pooling layer
c) Fully connected layer
d) Activation layer
A
B
C
D
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