úÎÖJSafe™ %The alias for a list of input weightsThe forward layer typeA network neuronThe input weights The activation function /The first derivation of the activation function The network layer The alias for a list of layers The network The sigmoid activation function,The first derivation of the sigmoid function0Create a sigmoid neuron from given input weights)Create a output neuron from given weights0Create a bias neuron from given number of inputs)Create a new Layer from a list of Neuron'1Create a new sigmoid Layer from a list of Neuron'?Create a new standard network for a number of layer and neurons0Create a new output Layer from a list of Neuron'CCreate a new network for a StdGen and a number of layer and neurons Do the complete back propagationThe learning rateGenerate forward pass info'Generate forward pass info for a neuronCalculate the product sum)Updates the weights for an entire networkUpdates the weights for a layer Updates the weights for a neuron[Trains a network with a set of vector pairs until the global error is smaller than epsilon)Create an indefinite sequence of networks"Quadratic error for multiple pairs (Quadratic error for a single vector pair;Calculates the output of a network for a given input vectordesired output value!"#$% Safe#&'()*+,-.      !"# $%& '()*+,-./nn-0.2.0-Fesxqsc2XotAmBXOGUbF4yAI.NnPaths_nnNetworknewtrainpredict $fShowForwardNeuron'ForwardNeuron inputWeightsactivate activate'LayerNetwork'sigmoidsigmoid' sigmoidNeuron outputNeuron biasNeuron createLayer sigmoidLayer outputLayernewGen backpropagaterate forwardLayer forwardNeuroncalcNet weightUpdate updateLayer updateNeurontrainUlglobalQuadError quadErrorNetoutputsumInputWeightinputsversion getBinDir getLibDir getDynLibDir getDataDir getLibexecDir getSysconfDirgetDataFileName