Bibliografía recomendada
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Fernando Berzal:
Redes Neuronales & Deep Learning
https://deep-learning.ikor.org
Edición independiente, 2018
ISBN-10: 1-7312-6538-7 (blanco y negro) / 1-7313-1433-7 (color)
ISBN-13: 978-1-7312-6538-8 (blanco y negro) / 978-1-7313-1433-8 (color)
Edición en dos volúmenes, 2019
ISBN-10: 1-0903-2030-2 (volumen 1) / 1-0903-3688-8 (volumen 2)
ISBN-13: 978-1-0903-2030-8 (volumen 1) / 978-1-0903-3688-0 (volumen 2)
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Ian Goodfellow, Yoshua Bengio & Aaron Courville
Deep Learning
http://www.deeplearningbook.org
MIT Press, 2016
ISBN 0262035618
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Bibliografía complementaria
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Charu C. Aggarwal:
Neural Networks and Deep Learning: A Textbook
Springer, 2018
ISBN 3319944622
http://link.springer.com/978-3-319-94463-0
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François Chollet:
Deep Learning with Python
Manning Publications, 2018
ISBN 1617294438
https://www.manning.com/books/deep-learning-with-python
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Yoav Goldberg:
Neural Network Methods in Natural Language Processing
Morgan & Claypool Publishers, Synthesis Lectures on Human Language Technologies, 2017
ISBN 1627052984
https://doi.org/10.2200/S00762ED1V01Y201703HLT037
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Martin T. Hagan, Howard B. Demuth, Mark H. Beale & Orlando de Jesús:
Neural Network Design
Martin Hagan, 2nd edition, 2014
ISBN 0971732116
http://hagan.okstate.edu/NNDesign.pdf
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Simon O. Haykin:
Neural Networks and Learning Machines
Prentice Hall, 3rd edition, 2008.
ISBN 0131471392
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Fredric M. Ham & Ivica Kostanic:
Principles of Neurocomputing for Science and Engineering
McGraw-Hill Higher Education, 2000
ISBN 0070259666
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Mohamad H. Hassoun:
Fundamentals of Artificial Neural Networks
MIT Press, 2003.
ISBN 0262514672
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Christopher M. Bishop:
Neural Networks for Pattern Recognition
Oxford University Press, 1996
ISBN 0198538642
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James A. Freeman & David M. Skapura:
Neural Networks: Algorithms, Applications, and Programming Techniques
Addison-Wesley, 1991
ISBN 0201513765
Redes Neuronales: Algoritmos, aplicaciones y técnicas de programación
Addison-Wesley / Díaz de Santos, 1993
ISBN 020160115X
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