Golgappa.net | Golgappa.org | BagIndia.net | BodyIndia.Com | CabIndia.net | CarsBikes.net | CarsBikes.org | CashIndia.net | ConsumerIndia.net | CookingIndia.net | DataIndia.net | DealIndia.net | EmailIndia.net | FirstTablet.com | FirstTourist.com | ForsaleIndia.net | IndiaBody.Com | IndiaCab.net | IndiaCash.net | IndiaModel.net | KidForum.net | OfficeIndia.net | PaysIndia.com | RestaurantIndia.net | RestaurantsIndia.net | SaleForum.net | SellForum.net | SoldIndia.com | StarIndia.net | TomatoCab.com | TomatoCabs.com | TownIndia.com
Interested to Buy Any Domain ? << Click Here >> for more details...


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



A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of pro..

Answer / clara

a

Is This Answer Correct ?    15 Yes 4 No

Post New Answer

More AI Neural Networks Interview Questions

How to avoid overflow in the logistic function?

0 Answers  


What is a Neural Network?

0 Answers  


How artificial neural networks can be applied in future?

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  


The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function

1 Answers  


Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results. a) True – this works always, and these multiple perceptrons learn to classify even complex problems. b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded d) False – just having a single perceptron is enough

1 Answers  


What can you do with an nn and what not?

0 Answers  


How are artificial neural networks different from normal computers?

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  


 Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned

1 Answers  


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

0 Answers  


 Which of the following is an application of NN (Neural Network)? a) Sales forecasting b) Data validation c) Risk management d) All of the mentioned

1 Answers  


Categories
  • AI Algorithms Interview Questions AI Algorithms (74)
  • AI Natural Language Processing Interview Questions AI Natural Language Processing (96)
  • AI Knowledge Representation Reasoning Interview Questions AI Knowledge Representation Reasoning (12)
  • AI Robotics Interview Questions AI Robotics (183)
  • AI Computer Vision Interview Questions AI Computer Vision (13)
  • AI Neural Networks Interview Questions AI Neural Networks (66)
  • AI Fuzzy Logic Interview Questions AI Fuzzy Logic (31)
  • AI Games Interview Questions AI Games (8)
  • AI Languages Interview Questions AI Languages (141)
  • AI Tools Interview Questions AI Tools (11)
  • AI Machine Learning Interview Questions AI Machine Learning (659)
  • Data Science Interview Questions Data Science (671)
  • Data Mining Interview Questions Data Mining (120)
  • AI Deep Learning Interview Questions AI Deep Learning (111)
  • Generative AI Interview Questions Generative AI (153)
  • AI Frameworks Libraries Interview Questions AI Frameworks Libraries (197)
  • AI Ethics Safety Interview Questions AI Ethics Safety (100)
  • AI Applications Interview Questions AI Applications (427)
  • AI General Interview Questions AI General (197)
  • AI AllOther Interview Questions AI AllOther (6)