AI, Machine Learning, Neural Networks, Image Recognition, Image Processing.
Node4 to Node6) W9: 0.9 (from Node5 to Node6) Biases: B1: 0.1 (for Node3) B2: 0.2 (for Node4) B3: 0.3 (for Node5) B4: 0.4 (for Node6) Let’s say our input vector is [1, 0] (values for Node1 and Node2) Calculations in Hidden Layer: Node3 = ReLU(Node1 input * W1 + Node2 input * W4 + B1) = ReLU(1 * 0.5