Aff                     Aff
Cpy                     Cpy
Csn                     Csn
Etr                     Etr
Id                      : Id
MC                      The MC neural network
Mxm                     Mxm
Nrm                     Nrm
Phi                     The Phi function
Phi_k                   The Phi_k function
Pnm                     Neural network polynomial
Prd                     Prd
Pwr                     Pwr
ReLU                    : ReLU
Sigmoid                 : Sigmoid
Sne                     Sne
Sqr                     Sqr
Sum                     Sum
Tanh                    Tanh
Tay                     The Tay function
Trp                     Trp
Tun                     Tun: The function that returns tunneling neural
                        networks
Xpn                     The Xpn function
comp                    comp
create_block_diagonal   Function for creating a block diagonal given
                        two matrices.
create_nn               create_nn
dep                     dep
draw_nn                 Draw a neural network architecture
generate_random_matrix
                        Function to generate a random matrix with
                        specified dimensions.
hid                     hid
i                       i
inn                     inn
inst                    inst
is_nn                   Test and validate neural network objects
lay                     lay
nn_sum                  nn_sum
nn_sum_many             Sum any number of neural networks
out                     out
param                   param
realize_nn              Create a reusable neural network realization
slm                     slm
srm                     srm
stk                     stk
stk_many                Stack any number of neural networks
view_nn                 view_nn
