Deep Learning

Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262035618
Size: 70.86 MB
Format: PDF, Mobi
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The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Machine Learning

Author: Kevin P. Murphy
Publisher: MIT Press
ISBN: 0262018020
Size: 38.93 MB
Format: PDF, Kindle
View: 249
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The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Deep Learning With Hadoop

Author: Dipayan Dev
Publisher: Packt Publishing Ltd
ISBN: 1787121232
Size: 34.13 MB
Format: PDF, Mobi
View: 1416
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[3] Bengio, Yoshua, et al. “Greedy layer-wise training of deep networks.”
Advances in neural information processing systems 19 (2007): 153. [4]
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. “Imagenet classification
with deep convolutional neural networks.” Advances in neural information
processing systems. 2012. [5] Machine Learning, Tom Mitchell, McGraw Hill,
1997. [6] Machine Learning: A Probabilistic Perspective (Adaptive Computation
and Machine Learning series), ...

Deep Learning With Python

Author: Francois Chollet
Publisher: Manning Publications
ISBN: 9781617294433
Size: 25.71 MB
Format: PDF, Docs
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About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library.

Seamless Healthcare Monitoring

Author: Toshiyo Tamura
Publisher: Springer
ISBN: 331969362X
Size: 57.68 MB
Format: PDF, Docs
View: 6034
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30. 31. 32. 33. 34. 35. 36. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep
learning, Adaptive computation and machine learning series (p. 800). The MIT
Press. Murphy, K. P. (2012). Machine learning: A probabilistic perspective,
Adaptive computation and machine learning series (p. 1104). The MIT Press.
Champagne, A., Descarreaux, M., & Lafond, D. (2008). Back and hip extensor
muscles fatigue in healthy subjects: Task-dependency effect of two variants of the
Sorensen test.

Computer Aided Systems Theory Eurocast 2017

Author: Roberto Moreno-Díaz
Publisher: Springer
ISBN: 3319747274
Size: 50.93 MB
Format: PDF, ePub, Docs
View: 4706
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Doujak, G.: Serious Games und Digital Game Based Learning. Spielebasierte
ELearning Trends der Zukunft. GRIN Verlag, Munich (2015) 4. Goodfellow, I.,
Bengio, Y., Courville, A.: Deep Learning. Adaptive Computation and Machine
Learning Series. MIT Press, Cambrige (2017) 5. Goodfellow, I.J.: NIPS 2016
tutorial: generative adversarial networks. CoRR abs/1701.00160 (2017). http:// 6. Hahn, P.: Visualisierung von Convolutional Neural

Bridging The Semantic Gap In Image And Video Analysis

Author: Halina Kwaśnicka
Publisher: Springer
ISBN: 3319738917
Size: 43.91 MB
Format: PDF, Mobi
View: 2800
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Springer (2007) Camastra, F., Vinciarelli, A.: Machine Learning for Audio, Image
and Video Analysis: Theory and Applications. In Series: Advanced Information
and Knowledge Processing, 2nd edn, 580 p. Springer (2016) Nath, V., Levinson,
S.E.: Autonomous Robotics and Deep Learning. In Series: SpringerBriefs in
Computer Science, 1st edn, 66 p. Springer (2014) Goodfellow, I., Bengio, Y.,
Courville, A.: Deep Learning. In Series: Adaptive Computation and Machine
Learning, 1st ...

Introduction To Machine Learning

Author: Ethem Alpaydin
Publisher: MIT Press
ISBN: 0262028182
Size: 32.94 MB
Format: PDF
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Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer ...

Applied Computer Sciences In Engineering

Author: Juan Carlos Figueroa-García
Publisher: Springer
ISBN: 331966963X
Size: 21.73 MB
Format: PDF, Kindle
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Springer, Cham (2016) 4. Flach, P.: Machine Learning: The Art and Science of
Algorithms That Make Sense of Data. Cambridge University Press, New York (
2012) 5. Goodfellow, I.J., Bengio, Y., Courville, A.C.: Deep Learning. Adaptive
Computation and Machine Learning, MIT Press, Cambridge (2016). http://www. 6. Hastie, T., Tibshirani, R., Friedman, J.H.: The Elements
of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in
Statistics, ...

Deep Learning

Author: Josh Patterson
Publisher: "O'Reilly Media, Inc."
ISBN: 1491914238
Size: 36.86 MB
Format: PDF, ePub, Mobi
View: 1050
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This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.