R: Neural Networks Made Algebraic

# Neural Networks Made Algebraic

## Documentation for package ‘nnR’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

%comp% | comp
%nn_sum% | nn_sum
%slm% | slm
%srm% | srm
%stk% | stk
A | This is an intermediate variable. See the reference
Aff | Aff
A_k | A_k: The function that returns the matrix A_k
B | This is an intermediate variable, see reference.
ck | The ck function
comp | comp
Cpy | Cpy
create_block_diagonal | Function for creating a block diagonal given two matrices.
create_nn | create_nn
Csn | Csn
C_k | C_k: The function that returns the C_k matrix
dep | dep
Etr | Etr
generate_random_matrix | Function to generate a random matrix with specified dimensions.
hid | hid
i | i
Id | : Id
inn | inn
inst | inst
is_nn | is_nn
lay | lay
MC | The MC neural network
Mxm | Mxm
nn_sum | nn_sum
Nrm | Nrm
out | out
param | param
Phi | The Phi function
Phi_k | The Phi_k function
Prd | Prd
Pwr | Pwr
ReLU | : ReLU
Sigmoid | : Sigmoid
slm | slm
Sne | Sne
Sqr | Sqr
srm | srm
stk | stk
Sum | Sum
Tanh | Tanh
Tay | The Tay function
Trp | Trp
Tun | Tun: The function that returns tunneling neural networks
view_nn | view_nn
Xpn | The Xpn function