Tariq M.Arif,Md AdilurRahim
Deep Learning for Engineers
Deep Learning for Engineers
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Format: Hardback
Length: 158 pages
Publication date: 28 February 2024
Publisher: Taylor & Francis Ltd
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.
Weight: 320g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032504735
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