Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Solution
The value coming out of a node in the hidden layer is multiplied by a weight associated with the node that did the calculation and adds to the weighted values of other nodes. This summation becomes the artificial neural network model's output or solution. (Observe that the term used for this varies between data scientists, some say output, others solution, result, or even outcome).
Again, the problems are presented to the artificial neural network (through the model's input layer), which will communicate to one or (most likely) more hidden layers where the actual processing is done via a system of weighted connections. The hidden layers then link to an output layer where the solution is given.
Most artificial neural network models ...
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