The name for the function in question 16 is
a) Step function
b) Heaviside function
c) Logistic function
d) Perceptron function
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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
What is a Neural Network?
What are cases and variables?
How are layers counted?
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones. a) All of the mentioned b) (ii) is true c) (i) and (ii) are true d) None of the mentioned
What are the applications of a Recurrent Neural Network (RNN)?
How to avoid overflow in the logistic function?
The name for the function in question 16 is a) Step function b) Heaviside function c) Logistic function d) Perceptron function
How are artificial neural networks different from normal computers?
What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?
What is the role of activation functions in a Neural Network?
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