SELECT FLATTENED TOP 1 NODE_UNIQUE_NAME,
(SELECT ATTRIBUTE_NAME, ATTRIBUTE_VALUE, VALUETYPE
FROM NODE_DISTRIBUTION) as t
FROM [Call Center Default NN -- Predict Service and Orders].CONTENT
WHERE NODE_TYPE = 22
AND [PARENT_UNIQUE_NAME] = '40000000200000000' FROM [Call Center Default NN].CONTENT
The weights are multiplied by values from the previous layer and the result typically goes through a sigmoid function that determines the value for the hidden node. That's how a set of input values get turned into output values, after going through
hidden layers. The weights are determined by training the neural network on a set of input data. The individual hidden layer weights and values will usually be less informative than the behavior of the net as a whole.
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