Computer Science · Neural Networks
In a multilayer perceptron (MLP), what is the primary purpose of the backpropagation algorithm?
- 1To propagate error gradients backward through the network to update weights✓
- 2To increase the forward pass execution speed
- 3To optimize search space during feature extraction
- 4To randomly initialize the network weights
Correct answer
To propagate error gradients backward through the network to update weights
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