Neural Network Parameter Calculation

The table shows how to calculate total parameters in a neural network by summing weights and biases across each layer. Hidden Layer 1: 7 inputs × 2 neurons = 14 weights, plus 2 biases → 16 parameters. Hidden Layer 2: 2 inputs × 2 neurons = 4 weights, plus 2 biases → 6 parameters. Output Layer: 2 inputs × 4 neurons = 8 weights, plus 4 biases → 12 parameters. Total: 16 + 6 + 12 = 34 parameters overall.