How neural networks became a universal function approximators?

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  

---

Explain in detail Neural Networks?

4 Answers   TCS,

---

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 a Neural Network?

0 Answers  

---

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

0 Answers  

---

List some commercial practical applications of artificial neural networks?

0 Answers  

---

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

0 Answers  

---

How human brain works?

0 Answers  

---

Why is the XOR problem exceptionally interesting to neural network researchers? a) Because it can be expressed in a way that allows you to use a neural network b) Because it is complex binary operation that cannot be solved using neural networks c) Because it can be solved by a single layer perceptron d) Because it is the simplest linearly inseparable problem that exists.

1 Answers  

---

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

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  

---