. Why are linearly separable problems of interest of neural network researchers?
a) Because they are the only class of problem that network can solve successfully
b) Because they are the only class of problem that Perceptron can solve successfully
c) Because they are the only mathematical functions that are continue
d) Because they are the only mathematical functions you can draw
What is backprop?
How neural networks became a universal function approximators?
Describe the structure of artificial neural networks?
Who is concerned with nns?
Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
What are combination, activation, error, and objective functions?
What is a neural network and what are some advantages and disadvantages of such a network?
What are neural networks? What are the types of neural networks?
Explain in detail Neural Networks?
What is the role of activation functions in a Neural Network?
How are nns related to statistical methods?
Why use artificial neural networks? What are its advantages?