Evolutionary Deep Neural Architecture Search Fundamentals Methods and Recent Advances is popular PDF and ePub book, written by Yanan Sun in 2022-11-08, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Evolutionary Deep Neural Architecture Search Fundamentals Methods and Recent Advances can be Read Online from any device for your convenience.
Evolutionary Deep Neural Architecture Search Fundamentals Methods and Recent Advances Book PDF Summary
This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.
Detail Book of Evolutionary Deep Neural Architecture Search Fundamentals Methods and Recent Advances PDF
- Author : Yanan Sun
- Release : 08 November 2022
- Publisher : Springer Nature
- ISBN : 9783031168680
- Genre : Technology & Engineering
- Total Page : 335 pages
- Language : English
- PDF File Size : 13,6 Mb
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