Hyperparameter optimization in machine learning : make your machine learning and deep learning models more efficient /

Dive into hyperparameter tuning of machine learning models and focus on what hyperparameters are and how they work. This book discusses different techniques of hyperparameters tuning, from the basics to advanced methods. This is a step-by-step guide to hyperparameter optimization, starting with what...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Agrawal, Tanay (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley] : Apress, [2021]
Temas:
Machine learning.
Mathematical optimization > Computer programs.
Open source software.
Computer programming.
Apprentissage automatique.
Logiciels libres.
Programmation (Informatique)
computer programming.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Hyperparameters
  • Chapter 2: Brute Force Hyperparameter Tuning
  • Chapter 3: Distributed Hyperparameter Optimization
  • Chapter 4: Sequential Model-Based Global Optimization and Its Hierarchical
  • Chapter 5: Using HyperOpt
  • Chapter 6: Hyperparameter Generating Condition Generative Adversarial Neural.

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