Digital Activity Expands the Data Pool for Deep Learning

Computational Scale and Recent Deep Learning Gains

Some Simpler Models Stop Improving Much After More Data

Large Neural Networks Need Plenty of Data

Tiny Training Sets Make Feature Design Crucial

Which pair best explains the main forces behind recent deep learning gains?

True or False: Most neural-network ideas were invented only in the last ten years.

Recent progress has been driven by more data and more _____.

Match the main forces behind progress in deep learning to their descriptions.

Arrange the explanation for why deep learning has accelerated recently.

Why long-standing deep learning ideas became effective recently

Explain why two models improve differently as a dataset expands.

Why can expert-crafted features help when labeled data is limited?

Which statement best describes why older deep learning ideas became influential later?

Two major forces behind recent deep learning gains