Which of the following statements accurately describes end$-$to$-$end learning?

$$ It is a method of training a neural network that involves using pre$-$trained models to extract features from the input data, which are then used as inputs to a separate model that learns how to perform the task.

$$ Lists

It is a method of training a neural network that involves breaking down the task into smaller sub$-$tasks and training each sub$-$task independently before combining the results.

It is a method of training a neural network that involves feeding the raw input data directly into the network and allowing it to learn how to perform the task without any manual feature engineering.

$$ It is a method of training a neural network that involves training the network on a small set of representative examples and then gradually adding more examples to improve its performance over time.