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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 8396Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
1 13336A 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 7282The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
1 4852Having 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 4668The 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 12608Which 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 7839Post New AI Neural Networks Questions
What are combination, activation, error, and objective functions?
How artificial neural networks can be applied in future?
Who is concerned with nns?
How artificial neurons learns?
How human brain works?
What is a neural network and what are some advantages and disadvantages of such a network?
How many kinds of nns exist?
What is the role of activation functions in a Neural Network?
What can you do with an nn and what not?
What are the different layers in CNN?
What is Pooling in CNN and how does it work?
How does ill-conditioning affect nn training?
How does an LSTM network work?
What are neural networks? What are the types of neural networks?
Explain neural networks?
