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2) Consider the following neural network for two predictors Thickness and Alignment and two classes Print Quality High and Low. Some weights are shown in the table, including weights for constant (threshold) nodes that link to each output node.
Suppose input data row x0 produces z1 = 0.5 at node H1 and z2 = 0.4 at node H2. Assume the softmax function is used at the outputs. Compute the output at each output node. To what Print Quality class is row x0 assigned?
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Q. Convert the following BINARY numbers into HEXADECIMAL, double check by converting the result HEXADECIMAL to BINARY. a) 1101.0110 b) 1011.11010 c) 11110.01011
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