What are neural networks? What are the types of neural networks?

0 Answers  

---

What are combination, activation, error, and objective functions?

0 Answers  

---

. 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

1 Answers  

---

A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be: a) 238 b) 76 c) 119 d) 123

1 Answers  

---

What is backprop?

0 Answers  

---

Explain neural networks?

0 Answers  

---

How human brain works?

0 Answers  

---

How artificial neural networks can be applied in future?

0 Answers  

---

How are artificial neural networks different from normal computers?

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  

---

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

1 Answers  

---

What is a Neural Network?

0 Answers  

---