Deep Learning Architectures [[electronic resource] ] : A Mathematical Approach / / by Ovidiu Calin |
Autore | Calin Ovidiu |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXX, 760 p. 213 illus., 35 illus. in color.) |
Disciplina | 006.31 |
Collana | Springer Series in the Data Sciences |
Soggetto topico |
Computer science—Mathematics
Computer mathematics Machine learning Mathematical Applications in Computer Science Machine Learning |
ISBN | 3-030-36721-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introductory Problems -- Activation Functions -- Cost Functions -- Finding Minima Algorithms -- Abstract Neurons -- Neural Networks -- Approximation Theorems -- Learning with One-dimensional Inputs -- Universal Approximators -- Exact Learning -- Information Representation -- Information Capacity Assessment -- Output Manifolds -- Neuromanifolds -- Pooling -- Convolutional Networks -- Recurrent Neural Networks -- Classification -- Generative Models -- Stochastic Networks -- Hints and Solutions. . |
Record Nr. | UNINA-9910484905703321 |
Calin Ovidiu | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Deep Learning Architectures [[electronic resource] ] : A Mathematical Approach / / by Ovidiu Calin |
Autore | Calin Ovidiu |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXX, 760 p. 213 illus., 35 illus. in color.) |
Disciplina | 006.31 |
Collana | Springer Series in the Data Sciences |
Soggetto topico |
Computer science—Mathematics
Computer mathematics Machine learning Mathematical Applications in Computer Science Machine Learning |
ISBN | 3-030-36721-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introductory Problems -- Activation Functions -- Cost Functions -- Finding Minima Algorithms -- Abstract Neurons -- Neural Networks -- Approximation Theorems -- Learning with One-dimensional Inputs -- Universal Approximators -- Exact Learning -- Information Representation -- Information Capacity Assessment -- Output Manifolds -- Neuromanifolds -- Pooling -- Convolutional Networks -- Recurrent Neural Networks -- Classification -- Generative Models -- Stochastic Networks -- Hints and Solutions. . |
Record Nr. | UNISA-996418272403316 |
Calin Ovidiu | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Deep Learning Architectures : A Mathematical Approach / Ovidiu Calin |
Autore | Calin, Ovidiu |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xxx, 760 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
Soggetto non controllato |
Boltzmann machine
Deep Learning Entropy Fisher Information Metric Kullback-Leibler Divergence Machine learning Neural networks |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0248977 |
Calin, Ovidiu | ||
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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