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?
A)Assign random values and pray to God they are correct
B)Search every possible combination of weights and biases till you get the best value
C)Iteratively check that after assigning a value how far you are from the best values, and slightly change the assigned values to make them better
D)None of these
Answer:C
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?
A)Assign random values and pray to God they are correct B)Search every possible combination of weights and biases till you get the best value C)Iteratively check that after assigning a value how far you are from the best values, and slightly change the assigned values to make them better D)None of these