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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

  • Hopfield, John J, Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences 79.8 (1982): 2554-2558.
  • Bengio, Yoshua, Patrice Simard, and Paolo Frasconi, Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks 5.2 (1994): 157-166.
  • Hochreiter, Sepp, and Jürgen Schmidhuber, long short-term memory. Neural Computation 9.8 (1997): 1735-1780.
  • Hochreiter, Sepp. Recurrent neural net learning and vanishing gradient. International Journal Of Uncertainity, Fuzziness and Knowledge-Based Systems 6.2 (1998): 107-116.
  • Sutskever, Ilya, Training recurrent neural networks. University of Toronto, Toronto, Ont., Canada (2013).
  • Chung, Junyoung, et al, Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555...
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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