TeachNet                Fits the neural network
TeachNet-package        Fit neural networks with up to 2 hidden layers
                        and one output neuron
Weights-class           Weights objects
Weights2-class          Weights2 objects
accuracy.me             Computes accuracy
computeGrad1            Computes a gradient
computeGrad2            Computes a gradient
computeOutput1          Computes output
computeOutput2          Computes output
confusion               Computes confusion matrix
createWeights1          Creates random weights
createWeights2          Creates random weights
crossEntropy            Cross entropy
find.Threshold          Finds best threshold
fitTeachNet1            One step in backpropagation
fitTeachNet2            One step in backpropagation
logistic                Logistic function
logistic.differential   Differential of logistic function
predict.Weights         Computes prediction
predict.Weights2        Computes prediction
squaredError            Computes squared error
sumCrossEntropy         Sums up cross entropy
sumSquaredError         Sums up squared error
transformPrediction     Transforms prediction
