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gloss.tex
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% commands
\newcommand{\abk}[1]{\glslink*{#1}{#1}} % prints acronym
\newcommand{\addabk}[2]{\newacronym{#1}{#1}{#2}} % adds acronym entry (preamle only)
% ACRONYMS
\addabk{ANN}{\textbf{A}rtificial \textbf{N}eural \textbf{N}etwork}
\addabk{NN}{\textbf{N}eural \textbf{N}etwork}
\addabk{CNN}{\textbf{C}onvolutional \textbf{N}eural \textbf{N}etwork}
\addabk{RNN}{\textbf{R}ecurrent \textbf{N}eural \textbf{N}etwork}
\addabk{FCN}{\textbf{F}ully-\textbf{C}onvolutional \textbf{N}etwork}
\addabk{AI}{\textbf{A}rtificial \textbf{I}ntelligence}
\addabk{ML}{\textbf{M}achine \textbf{L}earning}
\addabk{LSTM}{\textbf{L}ong \textbf{S}hort-\textbf{T}erm \textbf{M}emory}
\addabk{FC-LSTM}{\textbf{F}ully-\textbf{C}onnected \textbf{LSTM}}
\addabk{ConvLSTM}{\textbf{Conv}olutional \textbf{LSTM}}
\addabk{MLP}{\textbf{M}ulti\textbf{l}ayer \textbf{P}erceptron}
\addabk{FC}{\textbf{F}ully-\textbf{C}onnected}
\addabk{RGB}{\textbf{R}ed \textbf{G}reen \textbf{B}lue}
\addabk{MAE}{\textbf{M}ean \textbf{A}bsolute \textbf{E}rror}
\addabk{MSE}{\textbf{M}ean \textbf{S}quared \textbf{E}rror}
\addabk{BCE}{\textbf{B}inary \textbf{C}ross-\textbf{E}ntropy}
\addabk{ReLU}{\textbf{R}ectified \textbf{L}inear \textbf{U}nit}
\addabk{SDG}{\textbf{S}tochastic \textbf{G}radient \textbf{D}escent}
\addabk{OCR}{\textbf{O}ptical \textbf{C}haracter \textbf{R}ecognition}
\addabk{DCGAN}{\textbf{D}eep \textbf{C}onvolutional \textbf{G}enerative \textbf{A}dversarial \textbf{N}etwork}
\addabk{GAN}{\textbf{G}enerative \textbf{A}dversarial \textbf{N}etwork}
\addabk{BRNN}{\textbf{B}idirectional \textbf{R}ecurrent \textbf{N}eural \textbf{N}etwork}
\addabk{BPTT}{\textbf{B}ack\textbf{p}ropagation \textbf{T}hrough \textbf{T}ime}
\addabk{GRU}{\textbf{G}ated \textbf{R}ecurrent \textbf{U}nit}
\addabk{PSNR}{\textbf{P}eak \textbf{S}ignal-to-\textbf{N}oise \textbf{R}atio}
\addabk{FR}{\textbf{F}ull \textbf{R}eference}
\addabk{SSIM}{\textbf{S}tructural \textbf{Sim}ilarity}
\addabk{MS-SSIM}{\textbf{M}ulti-\textbf{S}cale \textbf{S}tructural \textbf{Sim}ilarity}
\addabk{JPEG}{\textbf{J}oint\textbf{ P}hotographic \textbf{E}xperts \textbf{G}roup}
\addabk{GDL}{\textbf{G}radient \textbf{D}ifference \textbf{L}oss}
\addabk{MNIST}{\textbf{M}ixed \textbf{N}ational \textbf{I}nstitute of \textbf{S}tandards and \textbf{T}echnology}
\addabk{UCF}{\textbf{U}niversity of \textbf{C}entral \textbf{F}lorida}
\addabk{PCA}{\textbf{P}rinciple \textbf{C}omponent \textbf{A}nalysis}
\addabk{Adam}{\textbf{Ad}aptive \textbf{M}oments \textbf{E}stimation}
\addabk{API}{\textbf{A}pplication \textbf{P}rogramming \textbf{I}nterface}
\addabk{TUM}{\textbf{T}echnische \textbf{U}niversität \textbf{M}ünchen}
\addabk{MIT}{\textbf{M}assachusetts \textbf{I}nstitute of \textbf{T}echnology}
\addabk{JSON}{\textbf{J}ava\textbf{S}cript \textbf{O}bject \textbf{N}otation}
\addabk{GPU}{\textbf{G}raphics \textbf{P}rocessing \textbf{U}nit}
\addabk{CPU}{\textbf{C}entral \textbf{P}rocessing \textbf{U}nit}
\addabk{GIF}{\textbf{G}raphics \textbf{I}nterchange \textbf{F}ormat}
\addabk{GT}{\textbf{G}round \textbf{T}ruth}
\addabk{SS}{\textbf{S}cheduled \textbf{S}ampling}
\addabk{AS}{\textbf{A}lways \textbf{S}ampling}
\addabk{BN}{\textbf{B}atch \textbf{N}ormalization}
% GLOSSARY
%\newglossaryentry{test} {
% name={TestTest},
% description={The test description gloss entry.},
%}
% MATH SYMBOLS
\newglossaryentry{hadamard}{name=\ensuremath{\odot},
description={Hadamard product},
type=symbolslist}
\newglossaryentry{input}{name=\ensuremath{x_{i}},
description={Input element},
type=symbolslist}
\newglossaryentry{output}{name=\ensuremath{y_{i}},
description={Output element},
type=symbolslist}
\newglossaryentry{weight}{name=\ensuremath{W_{i}},
description={Weight element},
type=symbolslist}
\newglossaryentry{bias}{name=\ensuremath{b},
description={Bias (or negative threshold)},
type=symbolslist}
\newglossaryentry{activ}{name=\ensuremath{\phi(x)},
description={Activation function},
type=symbolslist}
\newglossaryentry{lr}{name=\ensuremath{\eta},
description={Learning rate},
type=symbolslist}
\newglossaryentry{loss}{name=\ensuremath{\mathcal{L}(x)},
description={Loss function},
type=symbolslist}
\newglossaryentry{reg}{name=\ensuremath{\lambda},
description={Regularization coefficient},
type=symbolslist}
\newglossaryentry{hidden}{name=\ensuremath{h^{(\tau)}},
description={Hidden state at time step $\tau$},
type=symbolslist}
\newglossaryentry{cellstate}{name=\ensuremath{C^{(\tau)}},
description={Cell state at time step $\tau$},
type=symbolslist}
\newglossaryentry{l_one}{name=\ensuremath{\ell_1},
description={Least absolute deviations},
type=symbolslist}
\newglossaryentry{l_two}{name=\ensuremath{\ell_2},
description={Least square errors},
type=symbolslist}
\newglossaryentry{conv}{name=\ensuremath{\ast},
description={Convolution operation},
type=symbolslist}
\newglossaryentry{sigmoid}{name=\ensuremath{\sigma(x)},
description={Sigmoid activation function},
type=symbolslist}
\newglossaryentry{argmin}{name=\ensuremath{\textrm{arg}\min\limits_{x}},
description={Value of $x$ for which the minimum is attained},
type=symbolslist}
\newglossaryentry{uniform}{name=\ensuremath{\textrm{U}},
description={Uniform distribution},
type=symbolslist}
\newglossaryentry{matr_elem}{name=\ensuremath{\textbf{X}_{c,r}},
description={Element at column $c$ and row $r$ of matrix $X$},
type=symbolslist}
\newglossaryentry{grad}{name=\ensuremath{\nabla},
description={Gradient},
type=symbolslist}
\newglossaryentry{dim}{name=\ensuremath{d_x},
description={Dimensionality of $x$},
type=symbolslist}
\newglossaryentry{reg_term}{name=\ensuremath{\Omega(x)},
description={Regularizer term},
type=symbolslist}
\newglossaryentry{var}{name=\ensuremath{Var(x)},
description={Variance of $x$},
type=symbolslist}
\newglossaryentry{expvalue}{name=\ensuremath{\mathbb{E}(x)},
description={Expectation value of $x$},
type=symbolslist}
\newglossaryentry{max_poss}{name=\ensuremath{\textbf{x}_{max}},
description={Maximum possible value of $x$},
type=symbolslist}
\newglossaryentry{mu}{name=\ensuremath{\mu_x},
description={Mean value of $x$},
type=symbolslist}
\newglossaryentry{sigma}{name=\ensuremath{\sigma_x},
description={Standard deviation of $x$},
type=symbolslist}
\newglossaryentry{stride}{name=\ensuremath{s},
description={Stride value},
type=symbolslist}
\newglossaryentry{padding}{name=\ensuremath{p},
description={Padding value / probability},
type=symbolslist}
\newglossaryentry{kernel}{name=\ensuremath{k},
description={Kernel size value},
type=symbolslist}
\newglossaryentry{time}{name=\ensuremath{\tau},
description={Time step},
type=symbolslist}
\newglossaryentry{corrupt}{name=\ensuremath{\tilde{x}},
description={Corrupted value of $x$},
type=symbolslist}