Hello friends in this post we will discuss about the Convolution Neural Network Multiple Choice Questions and answers. Convolution Neural Network is very important as per exam point of view as well as these questions may be asked in various examination like college, University exams.
1.____________in which we give input to our model.
A. Input layer
B. Output layer
C. Hidden layer
D. None of these
Ans : A
2.The input from Input layer is then feed into the______.
A. Input layer
B. Output layer
C. Hidden layer
D. None of these
Ans : C
3.The data is then fed into the model and output from each layer is obtained this step is called _______.
A. Feedforward
B. Feed backward
C. input layer
D. Output layer
Ans : A
4.In ____________ holds the raw input of image used to build ConvNets.
A. Input Layer
B. Convolution Layer
C. Activation Function Layer
D. Pool Layer
Ans : A
5. ____________ computes the output volume by computing dot product between all filters and image patch.
A. Input Layer
B. Convolution Layer
C. Activation Function Layer
D. Pool Layer
Ans : B
6.__________will apply element wise activation function to the output of convolution layer.
A. Input Layer
B. Convolution Layer
C. Activation Function Layer
D. Pool Layer
Ans : C
7._________common types of pooling layers.
A. 2
B. 3
C. 4
D. 5
Ans : A
8. _________is a pooling operation that selects the maximum element from the region of the feature map covered by the filter.
A. Max Pooling
B. Average Pooling
C. Global pooling
D. None of these
Ans : A
9.________ computes the average of the elements present in the region of feature map covered by the filter.
A. Max Pooling
B. Average Pooling
C. Global pooling
D. None of these
Ans : B
10. ___________reduces each channel in the feature map to a single value.
A. Max Pooling
B. Average Pooling
C. Global pooling
D. None of these
Ans : C
What is feed forward in Convolution Neural Network?
Ans : The data is then fed into the model and output from each layer is obtained this step is called feed forward.
What is Convolution Neural Network?
Ans : Convolution Neural Networks or covnets are neural networks that share their parameters.