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List some commercial practical applications of artificial neural networks?
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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
Who is concerned with nns?
What are cases and variables?
What is simple artificial neuron?
What learning rate should be used for backprop?
What are the population, sample, training set, design set, validation set, and test set?
What is backprop?
Which is true for neural networks? a) It has set of nodes and connections b) Each node computes it’s weighted input c) Node could be in excited state or non-excited state d) All of the mentioned
Neural Networks are complex ______________ with many parameters. a) Linear Functions b) Nonlinear Functions c) Discrete Functions d) Exponential Functions
A perceptron is: a) a single layer feed-forward neural network with pre-processing b) an auto-associative neural network c) a double layer auto-associative neural network d) a neural network that contains feedback
What are neural networks and how do they relate to ai?
Describe the structure of artificial neural networks?
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