Can I read Deep Learning for Engineers on EtoBox?

Deep Learning for Engineers by Tariq M Arif; Tariq M. (Weber State University Ogden Arif, UT); MD Adilur Rahim; Md Adilur (Louisiana State University Baton Rouge Rahim, LA) is a nonfiction available to read on EtoBox.

What is Deep Learning for Engineers about?

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.

Who reads Deep Learning for Engineers?

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

Chapman and Hall/CRC

Published

2023

Language

EN

ISBN

9781032515816

Category

nonfiction

Subjects

Language Learning, Engineering, Science