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Deep Learning for Engineers

Language EnglishEnglish
Book Paperback
Book Deep Learning for Engineers Arif
Libristo code: 44436964
Publishers Taylor & Francis Ltd, March 2024
Introduces fundamental principles of deep learning with the explanation of basic elements required f... Full description
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Introduces fundamental principles of deep learning with the explanation of basic elements required for understanding and applying deep learning models. Features coding structure using Python and PyTorch, presenting four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning.

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About the book

Full name Deep Learning for Engineers
Author Arif, Tariq M. (Weber State University Ogden, UT), Rahim, Md Adilur (Louisiana State University Baton Rouge, LA)
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 192
EAN 9781032515816
Libristo code 44436964
Publishers Taylor & Francis Ltd
Weight 310
Dimensions 156 x 234

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Computing & Information Technology > Computer science > Artificial intelligence
Mathematics & Science > Mathematics
Technology, Engineering, Agriculture > Environmental science, engineering & technology
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