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 | ||
Cham, : Springer, : PoliMI, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 | ||
Cham, : Springer, : PoliMI, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
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 Generation Natural Language Processing Neural Embedding Parsing Question Answering Recurrent Neural Networks Sentiment analysis Sequence-to-Sequence Social computing Speech Language Understanding |
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 | ||
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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 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 |
Aggarwal, Charu C. | ||
Cham, : Springer, 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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