What is the goal of the backpropagation algorithm?
A . to randomize the trajectory of the neural network parameters during training
B . to smooth the gradient of the loss function in order to avoid getting trapped in small local minimas
C . to scale the gradient descent step in proportion to the gradient magnitude
D . to compute the gradient of the loss function with respect to the neural network parameters
Answer: B
Explanation:
Reference: https://www.sciencedirect.com/topics/computer-science/backpropagation
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