Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide

Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide

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This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to a...

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Bibliographic Details
Other Authors: Bartz, Eva (Editor), Bartz-Beielstein, Thomas (Editor), Zaefferer, Martin (Editor), Mersmann, Olaf (Editor)
Format: Electronic Book Chapter
Language:English
Published: Singapore Springer Nature 2023
Subjects:
Artificial intelligence
Machine learning
Mathematical & statistical software
Mathematical physics
Hyperparameter Tuning
Hyperparameters
Tuning
Deep Neural Networks
Reinforcement Learning
Machine Learning
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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