Neural Networks Made Algebraic

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Documentation for package ‘nnR’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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