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[net]
loss = square ; options (square)
epochs = 1000 ; comment
alpha = 1e-2
weights_path = data/gauss1d.bin
inputs = x
labels = y
; activation options (relu, sigmoid, softplus, leaky_relu)
[layer]
neurons=10
activation=sigmoid
[outlayer]
activation = sigmoid
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