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About common applications of deep learning in artificial intelligence
In automated arranging, the agent has a selected goal.[31] In automated determination earning, the agent has Tastes – there are a few predicaments it would prefer to become in, and several situations it is trying to avoid. The decision creating agent assigns a amount to each problem (called the "utility") that measures exactly how much the agent