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# Normal dist initialisation
# Matrix multiplication: input * hidden * output
self.wih = np.random.normal(0.0, pow(self.i_nodes, -0.5), (self.h_nodes, self.i_nodes))
self.who = np.random.normal(0.0, pow(self.h_nodes, -0.5), (self.o_nodes, self.h_nodes))
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