Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform
by: Tariq M. Arif
Published: 2020
ISBN-13: 9781681739137
Pages: 110
Language 语言: English
Pages: PDF
Size: 26 Mb
ISBN-13: 9781681739137
Pages: 109 pages UPC: 9781681739137
Recommended Age Range: 0-12 months ISBN: 9781681739137
Publisher finelybook 出版社: Morgan & Claypool
Book Description
Introduction to Deep Learning for Engineers: Using Python and Google Cloud Platform (Synthesis Lectures on Mechanical Engineering)
This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.
In recent years,deep learning-based modeling approaches have been used in a wide variety of engineering domains,such as autonomous cars,intelligent robotics,computer vision,natural language processing,and bioinformatics. Also,numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However,incorporating a deep learning model in a research project is quite challenging,especially for someone who doesn’t have related machine learning and cloud computing knowledge. Keeping that in mind,this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case.
The audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by: -step approach that can be replicated by: others easily.
Introduction to Deep Learning for Engineers 9781681739137.pdf[/erphpdown]
