Interested to Buy Any Domain ? << Click Here >> for more details...
Which of the following is not the promise of artificial neural network? a) It can explain result b) It can survive the failure of some nodes c) It has inherent parallelism d) It can handle noise
1 8265Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
1 13225A 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 7173The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
1 4744Having 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 4566The 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 12481Which 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 7733Post New AI Neural Networks Questions
Why use artificial neural networks? What are its advantages?
What are the different layers in CNN?
What learning rate should be used for backprop?
What are artificial neural networks?
Explain neural networks?
How does ill-conditioning affect nn training?
What are neural networks and how do they relate to ai?
What is the advantage of pooling layer in convolutional neural networks?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
Which is the similar operation performed by the drop-out in neural network?
what are some advantages and disadvantages of neural network?
What is a neural network and what are some advantages and disadvantages of such a network?
Are neural networks helpful in medicine?
Describe the structure of artificial neural networks?
What is a Neural Network?
