September 2018
Intermediate to advanced
328 pages
10h 46m
English
Our final type of learning is reinforcement learning, better known in some circles as carrot-and-stick. The neural network will process a dataset, learn from the data, and if our error rate decreases, we get the carrot. If the error rate increases, we get the stick. Enough said, right?
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