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1 . Input Node 3 nodes Hidden Nodes ( Sigmoid ) 3 nodes Output Nodes ( Sigmoid ) 2 nodes Training Data 1 0 (

1. Input Node 3 nodes Hidden Nodes (Sigmoid)3 nodes Output Nodes (Sigmoid)2 nodes Training Data 10( Output one-hot encoding [0,1],[1,0] Output Nodes 2 nodes) Weight Learning Rate
a. Feed Forward Output Nodes
b. Inertia Delta node a
2. Train Network 1( Weight Link 10 Iteration 10 Iteration ) Decision Surface Hidden Layer weight x0
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