AR                      Calculates the Accuracy Ratio of a classifier
AR.DArch                Calculates the Accruacy Ratio of a given set of
                        probability
AR.default              Calculates the Accruacy Ratio of a given set of
                        probability
AR.numeric              Calculates the Accruacy Ratio of a given set of
                        probability
applyDropoutMask        Applies the given dropout mask to the given
                        data row-wise.
backpropagate_delta_bn
                        Calculates the delta functions using
                        backpropagation
batch_normalization     Batch Normalization Function that normalizes
                        the input before applying non-linearity
batch_normalization_differential
                        Function that calcualtes the differentials in
                        the batch normalization mode
calcualte_population_mu_sigma
                        Calculates the mu and sigmas of a darch
                        instance
classification_error    Calculates the classification error
convert_categorical     Data proprosess function that covnerts a
                        categorical input to continuous input or
                        vectorize it
crossEntropyErr         Calculates the cross entropy error
finetune_SGD_bn         Updates a deep neural network's parameters
                        using stochastic gradient descent method and
                        batch normalization
generateDropoutMask     Generates the dropout mask for the deep neural
                        network
generateDropoutMasksForDarch
                        Generates dropout masks for dnn
matMult                 Calculates the outer product of two matricies
meanSquareErr           Calculates the mean squared error
new_dnn                 Creats a new instance of darch class
print_weight            Prints out the weight of a deep neural network
rectified_linear_unit_function
                        Rectified Linear Unit Function
reset_population_mu_sigma
                        Resets the mu and sigmas of a darch instance to
                        0 and 1
rsq                     Calculate the RSQ of a regression model
                        Utilitiy function that calcualtes RSQ of a
                        model. It measures the goodness-of- fit of a
                        regression model.
rsq.DArch               Utilitiy function that calcualtes RSQ of a
                        DArch instance
rsq.lm                  Utilitiy function that calcualtes RSQ of a
                        linear model
run_dnn                 Execution function that runs in the batch
                        normalization mode
train_dnn               Train a deep neural network
verticalize             Creates a matrix by repeating a row vector N
                        times
