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OR_ocn993443618 |
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OCoLC |
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20231017213018.0 |
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m o d |
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cr unu|||||||| |
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170711s2017 enka o 001 0 eng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d STF
|d TOH
|d CEF
|d KSU
|d OCLCQ
|d UAB
|d OCLCO
|d AJB
|d OCLCQ
|d OCLCO
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| 020 |
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|a 9781788471718
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|a 1788471717
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|z 9781788470315
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|a GBVCP
|b 1004865414
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|a (OCoLC)993443618
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|a CL0500000872
|b Safari Books Online
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|a QA76.87
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| 049 |
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|a UAMI
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| 100 |
1 |
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|a Sugomori, Yusuke,
|e author.
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| 245 |
1 |
0 |
|a Deep learning :
|b practical neural networks with Java : build and run intelligent applications by leveraging key Java machine learning libraries : a course in three modules.
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| 246 |
3 |
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|a Practical neural networks with Java
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| 264 |
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1 |
|a Birmingham, UK :
|b Packt Publishing,
|c 2017.
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| 300 |
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|a 1 online resource (1 volume) :
|b illustrations
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 588 |
0 |
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|a Online resource; title from title page (Safari, viewed June 29, 2017).
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| 500 |
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|a Authors: Yusuke Sugomori, Bos̆tjan Kaluz̆a, Fábio M. Soares, Alan M.F. Souza. Cf. Credits page.
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| 500 |
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|a Includes index.
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| 505 |
0 |
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|a Deep learning overview -- Algorithms for machine learning : preparing for deep learning -- Deep belief nets and stacked denoising autoencoders -- Dropout and convolutional neural networks -- Exploring Java deep learning libraries : DL4J, ND4J, and more -- Approaches to practical applications : recurrent neural networks and more -- Other important deep learning libraries -- What's next? -- Applied machine learning quick start -- Java libraries and platforms for machine learning -- Basic algorithms : classification, regression, and clustering -- Customer relationship prediction with ensembles -- Affinity analysis -- Recommendation engine with Apache Mahout -- Fraud and anomaly detection -- Image recognition with Deeplearning4j -- Activity recognition with mobile phone sensors -- Text mining with mallet : topic modeling and spam detection -- What is next? -- Getting started with neural networks -- Getting neural networks to learn -- Perceptrons and supervised learning -- Self-organizing maps -- Forecasting weather -- Classifying disease diagnosis -- Clustering customer profiles -- Text recognition -- Optimizing and adapting neural networks -- Current trends in neural networks.
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| 590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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| 650 |
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0 |
|a Neural networks (Computer science)
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| 650 |
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0 |
|a Java (Computer program language)
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| 650 |
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|a Machine learning.
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| 650 |
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6 |
|a Réseaux neuronaux (Informatique)
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| 650 |
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6 |
|a Java (Langage de programmation)
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| 650 |
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6 |
|a Apprentissage automatique.
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| 650 |
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7 |
|a Java (Computer program language)
|2 fast
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| 650 |
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7 |
|a Machine learning
|2 fast
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| 650 |
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7 |
|a Neural networks (Computer science)
|2 fast
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| 700 |
1 |
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|a Soares, Fábio M.,
|e author.
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| 700 |
1 |
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|a Kaluz̆a, Bos̆tjan,
|e author.
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| 700 |
1 |
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|a Souza, Alan M. F.,
|e author.
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781788470315/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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| 994 |
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|a 92
|b IZTAP
|
