Deep Learning for Engineers
Book Details
Format
Hardback or Cased Book
ISBN-10
1032504730
ISBN-13
9781032504735
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Feb 28th, 2024
Print length
158 Pages
Weight
320 grams
Product Classification:
Automatic control engineeringMachine learning
Ksh 18,700.00
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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.
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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