Deep Learning for Engineers - Arif, Tariq M. (Weber State University Ogden, UT) - Books - Taylor & Francis Ltd - 9781032504735 - February 28, 2024
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Arif, Tariq M. (Weber State University Ogden, UT)
Deep Learning for Engineers

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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.

192 pages, 14 Line drawings, color; 117 Halftones, color; 131 Illustrations, color

Media Books     Hardcover Book   (Book with hard spine and cover)
Released February 28, 2024
ISBN13 9781032504735
Publishers Taylor & Francis Ltd
Pages 158
Dimensions 150 × 220 × 20 mm   ·   320 g
Language English  

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