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Designing Hyper-V Solutions Год издания: 2015 Автор: Saurabh Grover Издательство: Packt Publishing ISBN: 10: 1782171444, 13: 978-1782171447 Язык: Английский Формат: PDF Качество: Издательский макет или текст (eBook) Интерактивное оглавление: Да Количество страниц: 417 Download full-text PDF. Optimizing deep learning hyper-parameters through an evolutionary algorithm. Conference Paper (PDF Available) · November 278 Pages·2015·1.95 MB·311 Downloads·New! and how you should go about them in your own deployment. More significantly, you will learn Файлы. Прикладная литература. Компьютерная литература. Технологии виртуализации. We study the problem of tting task-specic learn-ing rate schedules from the perspective of hyper-parameter optimization, aiming at good generaliza-tion. We describe the structure of the gradient of a validation error w.r.t. the learning rate sched-ule – the hypergradient.