Explain neural networks?


No Answer is Posted For this Question
Be the First to Post Answer

Post New Answer

More AI Neural Networks Interview Questions

How does an LSTM network work?

0 Answers  


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

0 Answers  


What can you do with an nn and what not?

0 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 are neural networks? What are the types of 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  


. 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  


 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  


How neural networks became a universal function approximators?

0 Answers  


What are artificial neural networks?

0 Answers  


Who is concerned with nns?

0 Answers  


Are neural networks helpful in medicine?

0 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)