zweidimensionales bewegtes Bild
Gradient descent for wide two-layer neural networks
- Standort
-
Hannover TIB
- Umfang
-
1463MB, 00:47:31:09 (unknown)
- Sprache
-
Englisch
- Anmerkungen
-
Audiovisuelles Material
- Erschienen in
-
Optimization for Machine Learning ; (Jan. 2020)
- Schlagwort
-
machine learning
neural networks
optimization
- Ereignis
-
Veröffentlichung
- (wer)
-
Centre International de Rencontres Mathématiques (CIRM)
- (wann)
-
2020-01-01
- Beteiligte Personen und Organisationen
-
Bach, Francis
- DOI
-
10.5446/54181
- Letzte Aktualisierung
-
04.12.2024, 08:09 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Technische Informationsbibliothek (TIB). Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- zweidimensionales bewegtes Bild
Beteiligte
- Bach, Francis
- Centre International de Rencontres Mathématiques (CIRM)
Entstanden
- 2020-01-01
Ähnliche Objekte (12)
Gradient descent for wide two-layer neural networks
Analysis of Gradient Descent on Wide Two-Layer Neural Networks
Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Regularizing gradient properties on deep neural networks
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Analysis of Gradient Descent on Wide Two-Layer Neural Networks
Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Regularizing gradient properties on deep neural networks
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Analysis of Gradient Descent on Wide Two-Layer Neural Networks
Parameter calibration with stochastic gradient descent for interacting particle systems driven by neural networks
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Regularizing gradient properties on deep neural networks
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent