This is answer-key to the IBM course named IBM DL0101EN Deep Learning Fundamentals with Keras Mcq of week 4
Question-1 = Why is the convolutional layer important in convolutional neural networks?
Solution = Because if we do not use a convolutional layer, we will end up with a massive number of parameters that will need to be optimized and it will be super computationally expensive.
Question-2 = The following is a typical architecture of a convolutional neural network.
Question-3 = For unsupervised learning, which of the following deep neural networks would you choose? Select all that apply
Solution = Autoencoders, Restricted Boltzmann Machines.
Question-4 = Recurrent Neural Networks are networks with loops, that don’t just take a new input at a time, but also take as input the output from the data point at the previous instance.
Solution = True
Question-5 = Which of the following statements is correct?
Solution = An autoencoder is an unsupervised neural network model that uses backpropagation by setting the target variable to be the same as the input.
Here’s the week 5 final exam solutions