Deep Learning Architectures Upplaga 1
- Upplaga: 1a upplagan
- Utgiven: 2020
- ISBN: 9783030367206
- Sidor: 760 st
- Förlag: Springer Nature Switzerland AG
- Format: Inbunden
- Språk: Engelska
Om boken
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.
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Mer om Deep Learning Architectures (2020)
I februari 2020 släpptes boken Deep Learning Architectures skriven av Ovidiu Calin. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 760 sidor. Förlaget bakom boken är Springer Nature Switzerland AG.
Köp boken Deep Learning Architectures på Studentapan och spara pengar.
Referera till Deep Learning Architectures (Upplaga 1)
Harvard
Calin, O. (2020). Deep Learning Architectures. 1:a uppl. Springer Nature Switzerland AG.
Oxford
Calin, Ovidiu, Deep Learning Architectures, 1 uppl. (Springer Nature Switzerland AG, 2020).
APA
Calin, O. (2020). Deep Learning Architectures (1:a uppl.). Springer Nature Switzerland AG.
Vancouver
Calin O. Deep Learning Architectures. 1:a uppl. Springer Nature Switzerland AG; 2020.
