[28] “Niryo One – An accessible educational 6 axis robotic arm, just for you – Niryo,”
https://niryo.com/niryo-one/. Nov. 2020.
[29] “OpenCV,” https://opencv.org/. Nov.2020.
[30] “ZBar bar code reader,” http://zbar.sourceforge.net/. Dec. 2020.
[31] J. Benitez, J. Castro, and I. Requena, “Are artificial neural networks black boxes?,”
IEEE
Transactions on Neural Networks, vol. 8, pp. 1156–1164, Sept. 1997.
[32] A. L. Samuel, “Some Studies in Machine Learning Using the Game of Checkers,”
IBM Journal of
Research and Development, vol. 3, pp. 210–229, July 1959.
[33] S. J. Russell, P. Norvig, and E. Davis,
Artificial intelligence: a modern approach. Prentice Hall series
in artificial intelligence, Upper Saddle River: Prentice Hall, 3rd ed ed., 2010.
[34] F. Rosenblatt, “The Perceptron, a Perceiving and Recognizing Automaton,”
01/1957. Αδημοσί-
ευτη ερευνητική εργασία.
[35] . F. Rosenblatt, “The Perceptron: a Probabilistic Model for Information Storage and Organization
In the Brain,” 1958. Αδημοσίευτη ερευνητική εργασία.
[36] J. Han and C. Moraga, “The influence of the sigmoid function parameters on the speed of
backpropagation learning,” in
From Natural to Artificial Neural Computation (G. Goos, J. Hartmanis,
J. Leeuwen, J. Mira, and F. Sandoval, eds.), vol. 930, pp. 195–201, Berlin, Heidelberg: Springer
Berlin Heidelberg, 1995. Series Title: Lecture Notes in Computer Science.
[37] C. C. Aggarwal, “Restricted Boltzmann Machines,” in
Neural Networks and Deep Learning, pp. 235–
270, Cham: Springer International Publishing, 2018.
[38] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time
Object Detection,” in
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
(Las Vegas, NV, USA), pp. 779–788, IEEE, June 2016.
[39] S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with
Region Proposal Networks,”
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39,
pp. 1137–1149, June 2017.
[40] I. Wallach, M. Dzamba, and A. Heifets, “AtomNet: A Deep Convolutional Neural Network for
Bioactivity Prediction in Structure-based Drug Discovery,”
arXiv:1510.02855 [cs, q-bio, stat], Oct.
2015. arXiv: 1510.02855.
[41] K. Desai, S. Parikh, K. Patel, P. Bide, and S. Ghane, “Survey of Object Detection Algorithms
and Techniques,” in
Cybernetics, Cognition and Machine Learning Applications (V. K. Gunjan,
P. N. Suganthan, J. Haase, A. Kumar, and B. Raman, eds.), Algorithms for Intelligent Systems,
(Singapore), pp. 247–257, Springer, 2020.
[42] Z.-Q. Zhao, P. Zheng, S.-T. Xu, and X. Wu, “Object Detection With Deep Learning: A Review,”
IEEE Transactions on Neural Networks and Learning Systems, vol. 30, pp. 3212–3232, Nov. 2019.
164