Artificial neural network (ANN) is a collection of connected computational units or nodes called neurons arranged in multiple computational layers. Each neuron linearly combines its inputs and then passes it through an activation function, which can be a linear or nonlinear filter. Linear combination of inputs is performed by summing up the products of weights and inputs. ANN generates the target through feed-forward data flow and then updates the weights of each neuron by backpropagation of errors during the training iterations. For purposes of NMR synthesis, we implement four-layered ANN with two hidden layers. Each hidden layer has 200 neurons.
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