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302.
Forward Pass in Neural Networks
easy
A neural network with L layers performs a forward pass. What does the forward pass compute?
A
It computes the loss surface curvature by evaluating the Hessian of the loss at the current parameter values
B
It computes the predicted output by passing the input through each layer sequentially from input to output
C
It computes the gradient of the loss with respect to all parameters by propagating errors backward through the network
D
It computes the optimal weight update by solving the normal equations for each layer independently
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