LRP is NOT applicable for models with only ReLU activations and max pooling nonlinearities.a.Falseb.True

The ReLU activation function can introduce non-linearity to the model.Group of answer choicesTrueFalse

4.Which layer in the model applies the relu activation function?

True or False: You can use bigger strides in a convolutional layer instead of a max-pooling layer for better accuracy.2 pointsTrueFalse

Because pooling layers do not have parameters, they do not affect the backpropagation (derivatives) calculation.Question 10AnswerTrueFalse

In a convolutional neural network (CNN), what is the primary role of the pooling layer? Question 2 options: Reducing the number of parameters in the network. Introducing non-linearities into the network. Performing element-wise multiplication with the filter weights. Down-sampling the feature maps to reduce spatial dimensions.