Question: 5. What is the purpose of the softmax activation function? To introduce non-linearity into the network To output a probability distribution over multiple classes To

5. What is the purpose of the softmax activation function?

To introduce non-linearity into the network

To output a probability distribution over multiple classes

To ensure that the output values of the network sum to one

All of the above

8. Which of the following is not a common type of layer used in a convolutional neural network?

a. Convolutional layer

b. Pooling layer

c. Dropout layer

d. Fully connected layer

9. Which of the following is the dimension of the feature maps produced by applying a convolutional operation with 32 filters and a kernel size of 3 on an input image with dimension 224x224x3, using no padding and a stride of 1?

a. 222x222x32

b.222x222x3

c. 222x222x96

d. 222x222x1

10. What is the dimension of the feature maps produced by applying max pooling on input feature maps with dimension 112x112x64, using a filter size of 2 and stride of 2 and no padding?

a. 56x56x64

b. 56x56x32

c. 112x112x32

d. 224x224x64

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