Automated Machine Learning: Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms by Dr. Adnan Masood
Requirements: .ePUB reader, 47 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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https://userupload.net/9mmgnyqkdlfv
https://dropgalaxy.vip/hkq0zja8jzcl
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Requirements: .ePUB reader, 47 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/9mmgnyqkdlfv
https://dropgalaxy.vip/hkq0zja8jzcl
Trouble downloading? Read This.