[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