______________ is a technique used in training neural networks where multiple models are trained and combined to improve performance and robustness

______________ is a technique used in training neural networks where multiple models are trained and combined to improve performance and robustness

A common technique to reduce overfitting in neural networks is to apply ______________, which randomly drops units from the neural network during training.

In neural networks, ______________ normalization is applied to stabilize and speed up the training process.

Which of the following is not part of the ML training phase?Evaluating the modelsData managementCreate the modelsConnecting Neural Networks

__________ is a regression technique that combines multiple weak models to create a strong model by weighting each model's prediction and summing them up.