What is a Neural Network?

0 Answers  

---

Who is concerned with nns?

0 Answers  

---

What are conjugate gradients, levenberg-marquardt, etc.?

0 Answers  

---

How artificial neural networks can be applied in future?

0 Answers  

---

What are the different layers in CNN?

0 Answers  

---

---

What are the applications of a Recurrent Neural Network (RNN)?

0 Answers  

---

What is the advantage of pooling layer in convolutional neural networks?

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  

---

What learning rate should be used for backprop?

0 Answers  

---

 A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is: a) 000 or 110 or 011 or 101 b) 010 or 100 or 110 or 101 c) 000 or 010 or 110 or 100 d) 100 or 111 or 101 or 001

1 Answers   HCL,

---

What is a neural network and what are some advantages and disadvantages of such a network?

0 Answers  

---

 Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not a) (ii) and (iii) are true b) (ii) is true c) All of the mentioned d) None of the mentioned

1 Answers  

---