Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Data Science: Theory, Algorithms, and Applications

Data Science: Theory, Algorithms, and Applications

Verma, Gyanendra K.
Soni, Badal
Bourennane, Salah

Hardcover

Series: Transactions on Computer Systems and Networks

General ComputersProbability & Statistics

ISBN10: 9811616809
ISBN13: 9789811616808
Publisher: Springer
Published: Aug 20 2021
Pages: 437
Weight: 2.00
Height: 1.00 Width: 7.90 Depth: 9.40
Language: English

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.

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