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You're reading from  Machine Learning for Developers

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781786469878
Edition1st Edition
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Authors (2):
Rodolfo Bonnin
Rodolfo Bonnin
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Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.
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References

  • Bellman, Richard, A Markovian decision process. Journal of Mathematics and Mechanics (1957): 679-684.
  • Kaelbling, Leslie Pack, Michael L. Littman, and Andrew W. Moore, Reinforcement learning: A survey. Journal of artificial intelligence research 4 (1996): 237-285.
  • Goodfellow, Ian, et al., Generative adversarial nets, advances in neural information processing systems, 2014
  • Radford, Alec, Luke Metz, and Soumith Chintala, Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015).
  • Isola, Phillip, et al., Image-to-image translation with conditional adversarial networks, arXiv preprint arXiv:1611.07004 (2016).
  • Mao, Xudong, et al., Least squares generative adversarial networks. arXiv preprint ArXiv:1611.04076 (2016).
  • Eghbal-Zadeh, Hamid, and Gerhard Widmer, Likelihood Estimation for Generative Adversarial...
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Machine Learning for Developers
Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878

Authors (2)

author image
Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.
Read more about Rodolfo Bonnin