IBM
C1000-012 · Question #52
C1000-012 Question #52: Real Exam Question with Answer & Explanation
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Question
How would someone train a neural network?
Options
- ACompare results from forward propagation to an error score and update weightings accordingly using back propagation
- BCompare input of network to output of network and back propagate the difference to the input connections layer
- CCalculate the error rate using cognitive dissonance and back propagate errors to the neurons to minimize the error rate
- DBack propagate the network output through the network and forward propagate errors in order to update relevant weightings
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