Data Science: Theory, Algorithms, and Applications (1st ed. 2021) (Transactions on Computer Systems and Networks)
By: and and and
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- Synopsis
- This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811616815
- Related ISBNs:
- 9789811616808
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 09/19/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Gyanendra K. Verma
- Edited by:
- Badal Soni
- Edited by:
- Salah Bourennane
- Edited by:
- Alexandre C. Ramos
Reviews
Other Books
- by Gyanendra K. Verma
- by Badal Soni
- by Salah Bourennane
- by Alexandre C. B. Ramos
- in Nonfiction
- in Computers and Internet