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Questions and Answers
What does the adjective "deep" in deep learning refer to?
What does the adjective "deep" in deep learning refer to?
- The use of multiple layers in the network (correct)
- Early work on linear perceptrons
- A network with a nonpolynomial activation function
- Efficiency, trainability and understandability
What allows deep learning to be practically applied and optimized?
What allows deep learning to be practically applied and optimized?
- An unbounded number of layers of bounded size (correct)
- A biologically informed connectionist model
- An unbounded width of layers
- A nonpolynomial activation function
What is the main difference between deep learning and early work on classifiers?
What is the main difference between deep learning and early work on classifiers?
- The layers are heterogeneous
- The layers are of unbounded width
- The layers are of bounded size (correct)
- The layers are of unbounded size
