x₁
1.0
x₂
0.0
x₃
1.0
bias
0.0
Σ
1.0
activation
perceptron
out
1
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w₁x₁ + w₂x₂ + w₃x₃ + b → activation(sum) → output
0.5·1 + 0.5·0 + 0.5·1 + 0.0 = 1.0 → perceptron(1.0) = 1
inputs
x₁
1.0
x₂
0.0
x₃
1.0
neuron parameters
w₁
0.5
w₂
0.5
w₃
0.5
bias
0.0
activation
Perceptron
ReLU
Sigmoid
Tanh