Deep Learning Architectures is popular PDF and ePub book, written by Ovidiu Calin in 2020-02-13, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Deep Learning Architectures can be Read Online from any device for your convenience.
Deep Learning Architectures Book PDF Summary
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter. This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
Detail Book of Deep Learning Architectures PDF
- Author : Ovidiu Calin
- Release : 13 February 2020
- Publisher : Springer Nature
- ISBN : 9783030367213
- Genre : Mathematics
- Total Page : 760 pages
- Language : English
- PDF File Size : 10,5 Mb
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