A) A neural network that has only one loop B) A neural network that contains feedback C) A single layer feed-forward neural network with pre-processing D) A neural network that contains no loops
2. In backpropagation rule, how to stop the learning process?
A) No heuristic criteria exist B) On basis of average gradient value C) There is convergence involved D) None of these
3. The entries in the full joint probability distribution can be calculated as
A) Using variables B) Both Using variables & information C) Using information D) All of the above
Leave a comment