Adding the paper

2026-01-21 12:32:57 +01:00 · 2022-03-30 21:20:13 +02:00
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--- a/Paper/Literatur.bib.bak
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+
+@Misc{jetsonNano,
+  howpublished = {https://developer.nvidia.com/embedded/jetson-nano-developer-kit},
+  note         = {Accessed: 2022-03-24},
+  title        = {{Jetson Nano Developer Kit}},
+}
+
+@Misc{nvidia3070ti,
+  howpublished = {https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3070-3070ti/},
+  note         = {Accessed: 2022-03-24},
+  title        = {{GeForce RTX 3070 Familiy - Specs}},
+}
+
+@Misc{jetsonNanoTensorFlow,
+  howpublished = {https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-nano/71770},
+  note         = {Accessed: 2022-03-24},
+  title        = {{Official TensorFlow for Jetson Nano!}},
+}
+
+@Misc{opencv,
+  howpublished = {https://opencv.org/releases/},
+  note         = {Accessed: 2022-03-24},
+  title        = {{OpenCV - releases}},
+}
+
+@Misc{resnet,
+  author    = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
+  title     = {Deep Residual Learning for Image Recognition},
+  year      = {2015},
+  copyright = {arXiv.org perpetual, non-exclusive license},
+  doi       = {10.48550/ARXIV.1512.03385},
+  keywords  = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences},
+  publisher = {arXiv},
+  url       = {https://arxiv.org/abs/1512.03385},
+}
+
+@InProceedings{vanishingGradients,
+  author    = {Tan, Hong Hui and Lim, King Hann},
+  booktitle = {2019 7th International Conference on Smart Computing Communications (ICSCC)},
+  title     = {Vanishing Gradient Mitigation with Deep Learning Neural Network Optimization},
+  year      = {2019},
+  pages     = {1-4},
+  doi       = {10.1109/ICSCC.2019.8843652},
+}
+
+@Misc{overparameterization,
+  author    = {Allen-Zhu, Zeyuan and Li, Yuanzhi and Liang, Yingyu},
+  title     = {Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers},
+  year      = {2018},
+  copyright = {arXiv.org perpetual, non-exclusive license},
+  doi       = {10.48550/ARXIV.1811.04918},
+  keywords  = {Machine Learning (cs.LG), Data Structures and Algorithms (cs.DS), Neural and Evolutionary Computing (cs.NE), Optimization and Control (math.OC), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Mathematics},
+  publisher = {arXiv},
+  url       = {https://arxiv.org/abs/1811.04918},
+}
+
+@Misc{autoencoderImg,
+  howpublished = {https://en.wikipedia.org/wiki/Autoencoder\#/media/File:Autoencoder\_structure.png},
+  note         = {Accessed: 2022-03-24},
+  title        = {{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.}},
+}
+
+@Misc{residualConnectionImg,
+  howpublished = {https://i.stack.imgur.com/d9HNk.png},
+  note         = {Accessed: 2022-03-24},
+  title        = {{Figure of a residual connection}},
+}
+
+@Misc{ConvolutionAnimation,
+  howpublished = {https://spinkk.github.io/singlekernel\_nopadding.html},
+  note         = {Accessed: 2022-03-24},
+  title        = {{Animation of a Convolution}},
+}
+
+@Article{colorize,
+  author    = {Zhang, Richard and Isola, Phillip and Efros, Alexei A.},
+  title     = {Colorful Image Colorization},
+  year      = {2016},
+  copyright = {arXiv.org perpetual, non-exclusive license},
+  doi       = {10.48550/ARXIV.1603.08511},
+  keywords  = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
+  publisher = {arXiv},
+  url       = {https://arxiv.org/abs/1603.08511},
+}
+
+@Comment{jabref-meta: databaseType:bibtex;}