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 / / 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
006.310151 |
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 | ||
|
Geometric Modeling in Probability and Statistics / / by Ovidiu Calin, Constantin Udrişte |
Autore | Calin Ovidiu |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (XXIII, 375 p. 22 illus., 3 illus. in color.) |
Disciplina | 519.5 |
Soggetto topico |
Probabilities
Geometry Statistics Probability Theory and Stochastic Processes Statistical Theory and Methods |
ISBN | 3-319-07779-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: The Geometry of Statistical Models -- Statistical Models -- Explicit Examples -- Entropy on Statistical Models -- Kullback–Leibler Relative Entropy -- Informational Energy -- Maximum Entropy Distributions -- Part II: Statistical Manifolds -- An Introduction to Manifolds -- Dualistic Structure -- Dual Volume Elements -- Dual Laplacians -- Contrast Functions Geometry -- Contrast Functions on Statistical Models -- Statistical Submanifolds -- Appendix A: Information Geometry Calculator. |
Record Nr. | UNINA-9910299979403321 |
Calin Ovidiu | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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