Initializing the parameters of a neural network with all zeroes will not back-propagate any gradient signal if we use the ReLU activation function. Note the ReLU activation function is given by σ(x) = max(0, x).
A. True
B. False.

Question

11-06-2024
Engineering

Answered

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Initializing the parameters of a neural network with all zeroes will not back-propagate any gradient signal if we use the ReLU activation function. Note the ReLU activation function is given by σ(x) = max(0, x).
A. True
B. False.

Sagot :

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Initializing the parameters of a neural network with all zeroes will not back-propagate any gradient signal if we use the ReLU activation function. Note the ReLU activation function is given by σ(x) = max(0, x). A. True B. False.

Sagot :

Other Questions

Initializing the parameters of a neural network with all zeroes will not back-propagate any gradient signal if we use the ReLU activation function. Note the ReLU activation function is given by σ(x) = max(0, x).
A. True
B. False.