Store besparelser
Hurtig levering
Gemte
Log ind
0
Kurv
Bøger
Bestsellers
Kommer snart
Nyheder
Spil og hobby
Kurv
  1. Bog
  2. Elektronik teknik
  3. Automatisk styrings- & reguleringsteknik

Deep Learning for Engineers

Af: Md Adilur Rahim, Tariq M. Arif Engelsk Paperback

Deep Learning for Engineers

Af: Md Adilur Rahim, Tariq M. Arif Engelsk Paperback
Tjek vores konkurrenters priser

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.

Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 526
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 158
ISBN-13: 9781032515816
Indbinding: Paperback
Udgave:
ISBN-10: 1032515813
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 28 feb 2024
Længde: 13mm
Bredde: 234mm
Højde: 156mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 28 feb 2024
Forfatter(e): Md Adilur Rahim, Tariq M. Arif
Forfatter(e) Md Adilur Rahim, Tariq M. Arif

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032515816

Sprog Engelsk

Indbinding Paperback

Sider 158

Udgave

Længde 13mm

Bredde 234mm

Højde 156mm

Udg. Dato 28 feb 2024

Oplagsdato 28 feb 2024

Forlag Taylor & Francis Ltd