Automated Machine Learning: Hyperparameter optimization, neural architecture search,
and algorithm selection with cloud platforms
by Dr. Adnan MasoodEnglish | 2021 | ISBN: 1800567685 | 235 Pages | PDF EPUB MOBI (True) | 138 MB
Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.
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