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Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso
| Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso |
| Autore | Sangiorgio, Matteo |
| Pubbl/distr/stampa | Cham, : Springer, : PoliMI, 2021 |
| Descrizione fisica | xii, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Dercole, Fabio
Guariso, Giorgio |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
| Soggetto non controllato |
Chaotic attractors
Environmental variables Exposure bias Henon systems Neural architectures Neural network training Recurrent Neural Networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274699 |
Sangiorgio, Matteo
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| Cham, : Springer, : PoliMI, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso
| Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso |
| Autore | Sangiorgio, Matteo |
| Pubbl/distr/stampa | Cham, : Springer, : PoliMI, 2021 |
| Descrizione fisica | xii, 104 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Dercole, Fabio
Guariso, Giorgio |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 93-XX - Systems theory; control [MSC 2020] |
| Soggetto non controllato |
Chaotic attractors
Environmental variables Exposure bias Henon systems Neural architectures Neural network training Recurrent Neural Networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274699 |
|
Sangiorgio, Matteo
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| Cham, : Springer, : PoliMI, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Deep learning in natural language processing / Li Deng, Yang Liu editors
| Deep learning in natural language processing / Li Deng, Yang Liu editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2018 |
| Descrizione fisica | xvii, 329 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Attention Models
Deep Learning Dialogue Systems Image Captioning Knowledge Graph Machine Translation Natural language Neural Embedding Parsing Question Answering Recurrent Neural Networks Sentiment analysis Sequence-to-Sequence Social computing Speech Language |
| ISBN | 978-98-11-33848-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250746 |
| Singapore, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Neural Networks and Deep Learning : A Textbook / Charu C. Aggarwal
| Neural Networks and Deep Learning : A Textbook / Charu C. Aggarwal |
| Autore | Aggarwal, Charu C. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xxiv, 529 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
| Soggetto non controllato |
Adversarial learning
Artificial Intelligence Deep Learning Image Convolutional Networks Machine learning Neural networks Pre-Trained Language Models Recurrent Neural Networks Reinforcement Learning Transformers Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00278913 |
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Aggarwal, Charu C.
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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