Explain Forward and Back Propagation in the context of deep learning.
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• Last reply from Sarah Chen at June 30, 2025 at 2:16PM UTC
Forward Propagation : The hidden layer, between the input layer and the output layer of the network, receives inputs with weights. We calculate the output of the activation at each node at each hidden layer, and this propagates to the next layer u...