Items related to Deep Learning for Engineers
- PublisherChapman and Hall/CRC
- Publication date2024
- ISBN 10 1032515813
- ISBN 13 9781032515816
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages170
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Deep Learning for Engineers
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Deep Learning for Engineers
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Deep Learning for Engineers
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Deep Learning for Engineers
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Deep Learning for Engineers
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Deep Learning for Engineers
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Deep Learning for Engineers
Published by
Taylor & Francis Ltd, 2024
ISBN 10: 1032515813
ISBN 13: 9781032515816
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Deep Learning for Engineers (Paperback)
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Paperback. Condition: new. Paperback. Deep Learning for Engineers introduces the fundamental principles of deep learning along with an explanation of the basic elements required for understanding and applying deep learning models.As a comprehensive guideline for applying deep learning models in practical settings, this book features an easy-to-understand coding structure using Python and PyTorch with an in-depth explanation of four typical deep learning case studies on image classification, object detection, semantic segmentation, and image captioning. The fundamentals of convolutional neural network (CNN) and recurrent neural network (RNN) architectures and their practical implementations in science and engineering are also discussed.This book includes exercise problems for all case studies focusing on various fine-tuning approaches in deep learning. Science and engineering students at both undergraduate and graduate levels, academic researchers, and industry professionals will find the contents useful. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032515816
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Deep Learning for Engineers
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Deep Learning for Engineers
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