Figure 2.
Our three‐layer multi‐layer perceptron network with one hidden layer ‘h’ containing 50 hidden nodes. ‘W’ represents the node weights, ‘b’ denotes the node biases, ‘x’ is the input feature vector, and ‘y’ represents the binary output.
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