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Published inSep 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781838640859
Edition1st Edition
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Dr. Pablo Rivas
Dr. Pablo Rivas
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Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
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References

  • Lorena, A. C., De Carvalho, A. C., & Gama, J. M. (2008), A review on the combination of binary classifiers in multiclass problems, Artificial Intelligence Review, 30(1-4), 19
  • Hochreiter, S., Younger, A. S., & Conwell, P. R. (2001, August), Learning to learn using gradient descent, in International Conference on Artificial Neural Networks (pp. 87-94), Springer: Berlin, Heidelberg
  • Ruder, S. (2016), An overview of gradient descent optimization algorithms, arXiv preprint arXiv:1609.04747
  • Tan, X., Zhang, Y., Tang, S., Shao, J., Wu, F., & Zhuang, Y. (2012, October), Logistic tensor regression for classification, in International Conference on Intelligent Science and Intelligent Data Engineering (pp. 573-581), Springer: Berlin, Heidelberg
  • Krejn, S. G. E. (1982), Linear Equations in Banach Spaces, Birkhäuser: Boston
  • Golub, G., & Kahan, W. (1965), Calculating the singular values and pseudo-inverse of a matrix, Journal of the Society for Industrial and Applied...
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Deep Learning for Beginners
Published in: Sep 2020Publisher: PacktISBN-13: 9781838640859

Author (1)

author image
Dr. Pablo Rivas

Dr. Pablo Rivas is an assistant professor of computer science at Baylor University in Texas. He worked in industry for a decade as a software engineer before becoming an academic. He is a senior member of the IEEE, ACM, and SIAM. He was formerly at NASA Goddard Space Flight Center performing research. He is an ally of women in technology, a deep learning evangelist, machine learning ethicist, and a proponent of the democratization of machine learning and artificial intelligence in general. He teaches machine learning and deep learning. Dr. Rivas is a published author and all his papers are related to machine learning, computer vision, and machine learning ethics. Dr. Rivas prefers Vim to Emacs and spaces to tabs.
Read more about Dr. Pablo Rivas