Vanishing Gradients

David has been working on an image recognition app that uses a deep learning model to classify different objects. He's been struggling to get his model to perform appropriately.

David knows his model suffers from the vanishing gradient problem. He decides to research every possible option to improve his model.

Which of the following techniques will help David's model overcome the vanishing gradient problem?

David should try using the ReLU activation function, which is known to reduce the vanishing gradient problem.

David should consider introducing Batch Normalization to his model architecture to combat the vanishing gradient problem.

David should increase the batch size to combat the vanishing gradient problem.

David should carefully initialize the weights of his model, such as using He initialization, to reduce the vanishing gradient problem.