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

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

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

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

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

What is the backpropagation algorithm used for?Select one:a.Data visualizationb.Data analysisc.Data miningd.Training artificial neural networks