X and the weight vector W. X represents the input data, and W represents the
list of weights that this node carries to multiply with the input vector. Recall that the
dot product is when each element in the vector is multiplied with the corresponding
element in the second vector, as in Figure
3-4
.
Both are different ways to represent a vector, although the second method is ideal
considering your data and weights would most likely take the shape of a matrix.
After that, there is an optional bias function where the value
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