| Description |
1 online resource (1 volume) : illustrations |
| Note |
Authors: Yusuke Sugomori, Bos̆tjan Kaluz̆a, Fábio M. Soares, Alan M.F. Souza. Cf. Credits page. |
|
Includes index. |
| Contents |
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. |
| Subject |
Neural networks (Computer science)
|
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Java (Computer program language)
|
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Machine learning.
|
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Réseaux neuronaux (Informatique) |
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Java (Langage de programmation) |
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Apprentissage automatique. |
|
Java (Computer program language) |
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Machine learning |
|
Neural networks (Computer science) |
| Added Author |
Soares, Fábio M., author.
|
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Kaluz̆a, Bos̆tjan, author.
|
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Souza, Alan M. F., author.
|
| Added Title |
Practical neural networks with Java |
| ISBN |
9781788471718 |
|
1788471717 |
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