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Question

In the field of artificial intelligence, how has deep learning enabled broader implementation of machine learning?

A By using hand-coded classifiers like edge detection filters so that a program can identify where an object starts and stops.
B By increasing the size of neural networks and running massive amounts of data through the network to train it.
C By using algorithmic approaches such as decision tree learning and inductive logic programming.
D By hand coding software routines with a specific set of instructions to accomplish a task.

Explanation

Deep learning uses large neural networks trained on massive amounts of data to automatically learn increasingly complex patterns and representations. This data- and compute-driven scaling enables machine-learning systems to handle tasks that would be impractical to solve with hand-coded rules or manually engineered classifiers.

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