Explain neural networks?
Explain in detail Neural Networks?
What learning rate should be used for backprop?
Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works. a) All of the mentioned are true b) (ii) and (iii) are true c) (i), (ii) and (iii) are true d) None of the mentioned
The network that involves backward links from output to the input and hidden layers is called as ____. a) Self organizing maps b) Perceptrons c) Recurrent neural network d) Multi layered perceptron
What can you do with an nn and what not?
Who is concerned with nns?
How many kinds of nns exist?
List some commercial practical applications of artificial neural networks?
A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0. a) True b) False c) Sometimes – it can also output intermediate values as well d) Can’t say
What is backprop?
What is Pooling in CNN and how does it work?
How are artificial neural networks different from normal computers?