Code: 44436964
Deep Learning for Engineers
by Arif, Tariq M. (Weber State University Ogden, UT), Rahim, Md Adilur (Louisiana State University Baton Rouge, LA)
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 de ... more
- Language:
English - Binding: Paperback
- Number of pages: 192
Publisher: Taylor & Francis Ltd, 2024
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Book synopsis
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.
Book details
71.91 €
- Full title: 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: Paperback
- Number of pages: 192
- EAN: 9781032515816
- ID: 44436964
- Publisher: Taylor & Francis Ltd
- Weight: 310 g
- Dimensions: 234 × 156 mm
- Date of publishing: 01. March 2024
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