Overfitting can also be controlled by reducing the _______ of the neural network, which refers to the number of nodes and layers.
- Learning rate
- Epochs
- Capacity
- Batch size
Overfitting in neural networks can be controlled by reducing the capacity of the network, which refers to the number of nodes and layers. A simpler network is less likely to overfit as it has fewer parameters to learn and generalize more effectively.
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