What is the purpose of dropout regularization in neural networks?

Question

Data Science with Python — Hard

What is the purpose of dropout regularization in neural networks?

Accepted Answer

Dropout regularization in neural networks randomly deactivates a fraction of neurons during training to prevent co-adaptation and encourage the network to learn diverse representations. This process effectively trains an ensemble of thinned networks, improving generalization.