Output = 1 / (1 + EXP(-(C2 E8 + D2 E9 + E10)))

Arthur realized he couldn't just let the formulas sit there. He needed to capture the updated values.

: The final prediction, such as a category label or a numerical value. 2. Set Up Forward Propagation

Update the weights and biases using the gradients and a learning rate:

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