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 7451Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
1 12256A 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 6483The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
1 4151Having 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 3869The 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 11678Which 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 7001Post New AI Neural Networks Questions
What is the difference between a Feedforward Neural Network and Recurrent Neural Network?
How many kinds of kohonen networks exist?
Which is the similar operation performed by the drop-out in neural network?
Are neural networks helpful in medicine?
List some commercial practical applications of artificial neural networks?
What are the applications of a Recurrent Neural Network (RNN)?
What are neural networks? What are the types of neural networks?
What is a Neural Network?
what are some advantages and disadvantages of neural network?
How artificial neurons learns?
How artificial neural networks can be applied in future?
What is the role of activation functions in a Neural Network?
What is simple artificial neuron?
Explain neural networks?
What is the advantage of pooling layer in convolutional neural networks?
