| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
004 |
| 書名/作者: |
Introduction to deep learning for engineers : using python and google cloud platform // Tariq M. Arif. |
| 其他題名: |
Using python and google cloud platform |
| 作者: |
Arif, Tariq M., |
| 面頁冊數: |
1 online resource (111 p.) |
| 標題: |
Engineering - Data processing. |
| 標題: |
Computational intelligence. |
| 標題: |
Machine learning. |
| 標題: |
Python (Computer program language) |
| ISBN: |
9781681739137 |
| ISBN: |
9781681739144 |
| ISBN: |
9781681739151 |
| 書目註: |
Includes bibliographical references (pages 87-92). |
| 摘要、提要註: |
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. |
| 電子資源: |
https://portal.igpublish.com/iglibrary/search/MCPB0006569.html |