Editing 1838: Machine Learning
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In large-scale composting operations, the raw organic matter added to the pile is referred to as "input". This cartoon implies a play on the term "input", comparing a compost input to a data input. | In large-scale composting operations, the raw organic matter added to the pile is referred to as "input". This cartoon implies a play on the term "input", comparing a compost input to a data input. | ||
β | + | ===Title text=== | |
A {{w|recurrent neural network}} is a neural network where the nodes affect one another in cycles, creating feedback loops in the network that allow it to change over time. To put it another way, the neural network has 'state', with the results of previous inputs affecting how each successive input is processed. In the title text, [[Randall]] is saying that the machine learning system is technically recurrent because it "changes" (i.e. gets mushy) over time. | A {{w|recurrent neural network}} is a neural network where the nodes affect one another in cycles, creating feedback loops in the network that allow it to change over time. To put it another way, the neural network has 'state', with the results of previous inputs affecting how each successive input is processed. In the title text, [[Randall]] is saying that the machine learning system is technically recurrent because it "changes" (i.e. gets mushy) over time. |