alleryStart learning →What does an MLP add to a linear model?
AOne or more hidden layers between input and output
BA larger batch size only at training time
CA higher learning rate at every training step
DA different optimiser without architectural change
Answer & Solution
Correct answer: A. One or more hidden layers between input and output
An MLP stacks fully-connected hidden layers between input and output.
With nonlinear activations, it can represent much richer mappings than a single linear layer.
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