What is the optimal approach to obtaining the correct weight and bias values for each neuron in a neural network, given their critical importance in approximating any function?

Question $2$Answer

a$.$

Randomly assign values and rely on chance for correctness.

b$.$

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.

c$.$

Exhaustively search through every combination of weights and biases until optimal values are found.

d$.$

Utilize transfer learning to assign the optimal weights and biases.

e$.$

None