Question: How does the dropout technique affect the learning process in neural networks? It accelerates the training process by simplifying the network It uniformly reduces the

How does the dropout technique affect the learning process in neural networks?
It accelerates the training process by simplifying the network
It uniformly reduces the number of neurons across all layers
It decreases the variability of model predictions
It randomly deactivates a subset of neurons during training to prevent overdependence on any one feature
How does the dropout technique affect the learning process in neural

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