1. There is feedback in final stage of backpropagation

A) TRUE
B) FALSE
C)
D)



2. Backpropagation learning is based on the gradient descent along error surface

A) TRUE
B) FALSE
C)
D)



3. End Nodes are represented by which of the following

A) Solar Street light
B) Triangles
C) Circles
D) Squares



4. Which of the following provided by the Bayesian Network?

A) Complete description of the problem
B) Partial description of the domain
C) Complete description of the domain
D) All of the above



5. EM algorithm includes two repeated steps, here the step 2 is .

A) The normalization
B) The maximization step
C) The minimization step
D) None of the above