Answer / clara

d

Why use artificial neural networks? What are its advantages?

0 Answers  

---

Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned

1 Answers  

---

What is Pooling in CNN and how does it work?

0 Answers  

---

 What is back propagation? a) It is another name given to the curvy function in the perceptron b) It is the transmission of error back through the network to adjust the inputs c) It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn. d) None of the mentioned

1 Answers  

---

What learning rate should be used for backprop?

0 Answers  

---

Are neural networks helpful in medicine?

0 Answers  

---

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

1 Answers  

---

How to avoid overflow in the logistic function?

0 Answers  

---

What are cases and variables?

0 Answers  

---

List some commercial practical applications of artificial neural networks?

0 Answers  

---

How are weights initialized in a network?

0 Answers  

---

 What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates a) (i) and (ii) are true b) (i) and (iii) are true c) Only (i) d) All of the mentioned

1 Answers  

---