ANN - In a neural network | Automated hands-on| CloudxLab

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In a neural network, knowing the weight and bias of each neuron is the most important step. If you can somehow get the correct value of weight and bias for each neuron, you can approximate any function. What would be the best way to approach this?

Assign random values hoping they would be correct
Search all possible combination of weights and biases till you get the best value
Iteratively check that after assigning a value how far you are from the best values, and slightly change the assigned values values to make them better
None of these

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Artificial Neural Networks - MCQs

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