Question 7Which of the following are true about the inception Network? (Check all that apply)

Question 5Which ones of the following statements on Residual Networks are true? (Check all that apply.)

Q.1 Which of the following are types of CNN architectures?1. RavNe2. AlexNet3. VGGNet4. JoNet

Question 5Adding a ResNet block to the end of a network makes it deeper. Which of the following is true?

Question 1Which of the following do you typically see in ConvNet? (Check all that apply.)1 point

Which is false?Group of answer choicesOutput of a layer in the residual network is the normal output (i.e, what’s produced after applying a filter and an activation function) + the layers input.Output of a layer in the dense network is the normal output (i.e, what’s produced after applying a filter and an activation function) + the layers input.Output of layer 𝑙 in the dense network will be one of the inputs for layers 𝑖∈(𝑙+1,𝐿) where 𝐿 is the total number of layers.A problem of convolution network is that some features may get extracted earlier in the network, but could be useful later on. However, it is hard to keep track of previous non-modified outputs.