Data Science:Theory, Algorithms, and Applications

Gyanendra K. Verma et all.

Informasi Dasar

59 kali
22.21.2022
005.74
Buku - Elektronik (E-Book)
3

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.

Subjek

DATA SCIENCE
DATA BASE MANAGEMENT,

Katalog

Data Science:Theory, Algorithms, and Applications
978-981-16-1681-5
444p,:pdf file,; 15 MB
English

Sirkulasi

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Pengarang

Gyanendra K. Verma et all.
Perorangan
 
 

Penerbit

Springer Nature Switzerland AG
Switzerland
2021

Koleksi

Kompetensi

 

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