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

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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Bibliographic Details
Other Authors: Agrawal, Tanay, author (author)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] : Apress [2021]
Edition:1st ed. 2021.
Subjects:
Machine learning.
Python (Computer program language)
Open source software.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631824006719
Table of Contents:
  • 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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