\begin{thebibliography}{10}

\bibitem{jetsonNano}
``{Jetson Nano Developer Kit}.''
  https://developer.nvidia.com/embedded/jetson-nano-developer-kit.
\newblock Accessed: 2022-03-24.

\bibitem{nvidia3070ti}
``{GeForce RTX 3070 Familiy - Specs}.''
  https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3070-3070ti/.
\newblock Accessed: 2022-03-24.

\bibitem{ConvolutionAnimation}
``{Animation of a Convolution}.''
  https://spinkk.github.io/singlekernel\_nopadding.html.
\newblock Accessed: 2022-03-24.

\bibitem{autoencoderImg}
``{Schematic structure of an autoencoder with 3 fully connected hidden layers.
  The code (z, or h for reference in the text) is the most internal layer.}.''
  https://en.wikipedia.org/wiki/Autoencoder\#/media/File:Autoencoder\_structure.png.
\newblock Accessed: 2022-03-24.

\bibitem{jetsonNanoTensorFlow}
``{Official TensorFlow for Jetson Nano!}.''
  https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-nano/71770.
\newblock Accessed: 2022-03-24.

\bibitem{opencv}
``{OpenCV - releases}.'' https://opencv.org/releases/.
\newblock Accessed: 2022-03-24.

\bibitem{residualConnectionImg}
``{Figure of a residual connection}.'' https://i.stack.imgur.com/d9HNk.png.
\newblock Accessed: 2022-03-24.

\bibitem{vanishingGradients}
H.~H. Tan and K.~H. Lim, ``Vanishing gradient mitigation with deep learning
  neural network optimization,'' in {\em 2019 7th International Conference on
  Smart Computing Communications (ICSCC)}, pp.~1--4, 2019.

\bibitem{resnet}
K.~He, X.~Zhang, S.~Ren, and J.~Sun, ``Deep residual learning for image
  recognition,'' 2015.

\bibitem{overparameterization}
Z.~Allen-Zhu, Y.~Li, and Y.~Liang, ``Learning and generalization in
  overparameterized neural networks, going beyond two layers,'' 2018.

\bibitem{colorize}
R.~Zhang, P.~Isola, and A.~A. Efros, ``Colorful image colorization,'' 2016.

\end{thebibliography}