Which is true about machine learning $($ML$)$ and deep learning $($DL$)?($select all that apply$)$

ML extracts features separately from the classification task, while DL combines them.$$

DL extracts features separately from the classification task, while ML combines them.$$

A type of ML is ANNs, which has how to train deep neural networks, which have more layers than normal and also special structures to deal with the challenges of learning more layers.

ML implies any technique that trains the machine to learn statistical parameters from a large amount of training data.$$