Backpropagation — Example 1
3 inputs, 1 output, no hidden layers, no activation; single training sample.
Network
Controls
w₁
w₂
w₃
b
η (learning rate)
1 step
100 steps
Reset
Iteration
0
Loss
0.010000
Loss vs. iteration