Select the correct statements in the context of neural networks (NNs).
Group of answer choices
- Pruning and dropouts are both used to adjust the size of a neural network.
- Pruning for deep NNs trains a large network, and iteratively removes the low contributing neurons or links and retraining the network until performance improves.
- Weight and neuron pruning are two types of pruning a neural network.
- Pruning for deep NNs trains a large network, and iteratively removes the low contributing neurons or links and retraining the network until performance degrades.