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Adding a ResNet block to the end of a network makes it deeper. Which of the following is true?

Question

Adding a ResNet block to the end of a network makes it deeper. Which of the following is true?

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Solution

You haven't provided any options for the statement "Adding a ResNet block to the end of a network makes it deeper. Which of the following is true?" However, I can tell you that the statement itself is true.

ResNet, or Residual Network, is a type of convolutional neural network (CNN) that uses skip connections or shortcuts to jump over some layers. This helps to solve the vanishing gradient problem in deep neural networks.

When you add a ResNet block to the end of a network, you are effectively increasing the depth of the network. This is because a ResNet block itself is composed of several layers. Therefore, adding a ResNet block to a network does indeed make it deeper.

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