How Neural Network works | Weights and Bias #dataengineering #neuralnetworks #genai
Summary
A neural network's neuron processes input signals by assigning weights to each, reflecting its importance (e.g., monthly income has a high positive weight, outstanding debts a negative weight). These weighted inputs are summed with a bias, and the result is passed through an activation function to produce an output decision.
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