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[net]
loss = square ; options (square)
epochs = 1000 ; comment
alpha = 2e-4
weights_path = data/gauss2d.bin
inputs = x,y
labels = z

; activation options (relu, sigmoid, softplus, leaky_relu)

[layer]
neurons=20
activation=sigmoid
[layer]
neurons=10
activation=relu

[outlayer]
activation = sigmoid
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