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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 8474Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
1 13402A 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 7342The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
1 4952Having 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 4729The 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 12716Which 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 7931Post New AI Neural Networks Questions
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
How are weights initialized in a network?
What are combination, activation, error, and objective functions?
What can you do with an nn and what not?
Why use artificial neural networks? What are its advantages?
Are neural networks helpful in medicine?
What are neural networks and how do they relate to ai?
How artificial neurons learns?
What are the applications of a Recurrent Neural Network (RNN)?
How neural networks became a universal function approximators?
How are artificial neural networks different from normal computers?
What are neural networks? What are the types of neural networks?
How many kinds of nns exist?
What is Pooling in CNN and how does it work?
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
