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Deep learning / / Ian Goodfellow, Yoshua Bengio and Aaron Courville
| Deep learning / / Ian Goodfellow, Yoshua Bengio and Aaron Courville |
| Autore | Goodfellow Ian |
| Pubbl/distr/stampa | Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2016] |
| Descrizione fisica | 1 online resource (xxii, 775 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Adaptive computation and machine learning |
| Soggetto topico | Machine learning |
| ISBN | 0-262-33737-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models. |
| Record Nr. | UNINA-9910276947203321 |
Goodfellow Ian
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| Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep learning / / Ian Goodfellow, Yoshua Bengio and Aaron Courville
| Deep learning / / Ian Goodfellow, Yoshua Bengio and Aaron Courville |
| Autore | Goodfellow Ian |
| Pubbl/distr/stampa | Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2016] |
| Descrizione fisica | 1 online resource (xxii, 775 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Adaptive computation and machine learning |
| Soggetto topico | Machine learning |
| ISBN | 0-262-33737-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models. |
| Record Nr. | UNISA-996320734503316 |
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Goodfellow Ian
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| Cambridge, Massachusetts ; ; London, England : , : The MIT Press, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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