Deep Learning for Engineers

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.

• | Author: Tariq M Arif, Tariq M. (Weber State University Ogden Arif, UT), MD Adilur Rahim, Md Adilur (Louisiana State University Baton Rouge Rahim, LA)
• | Publisher: CRC Press
• | Publication Date: Feb 28, 2024
• | Number of Pages: NA pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1032515813
• | ISBN-13: 9781032515816