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Titlebook: Data Science; Theory, Algorithms, Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo Book 2021 The Editor(s) (if applicable) and The Autho

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發(fā)表于 2025-3-21 19:45:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science
副標(biāo)題Theory, Algorithms,
編輯Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo
視頻videohttp://file.papertrans.cn/264/263053/263053.mp4
概述Provides insights for researchers to minimize the research gap in machine/deep learning.Includes outbreak research on Deep Learning.Offers latest tools and techniques for multimedia data analysis.Comp
叢書名稱Transactions on Computer Systems and Networks
圖書封面Titlebook: Data Science; Theory, Algorithms,  Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo Book 2021 The Editor(s) (if applicable) and The Autho
描述.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..
出版日期Book 2021
關(guān)鍵詞Deep Learning; Multimedia Tools; Machine Learning; Artificial Intelligence; Image Processing; Computation
版次1
doihttps://doi.org/10.1007/978-981-16-1681-5
isbn_softcover978-981-16-1683-9
isbn_ebook978-981-16-1681-5Series ISSN 2730-7484 Series E-ISSN 2730-7492
issn_series 2730-7484
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Koszul Complexes, Depth and CodepthThis work presents a deep learning solution object tracking and object detection in images and real-time license plate recognition implemented in F450 quadcopter in autonomous flight. The solution uses Python programming language, OpenCV library, remote PX4 control with MAVSDK, OpenALPR, neural network using Caffe and TensorFlow.
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John Odling-Smee,Thomas Richardson paradigms, as these learning ensemble methods are commonly more precise than individual classifiers. Therefore, among diverse ensemble techniques, investigators have experienced a widespread learning classifier viz. bagging to forecast the performance of students. As exploitation of ensemble approa
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Completing Transition: The Main Challengest data is also considered one of the most critical and confidential data in information systems but because of lack of protection standards in online communication, hackers and others are often vulnerable to medical information. Therefore, sending medical information over the network needs a powerfu
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Completing Transition — The Main Challenges sense definitions and context of ambiguous word. We compute the similarity using three variants of simplified Lesk algorithm: direct overlap, frequency-based scoring, and frequency-based scoring after dropping target word. We further evaluate the effect of stop word elimination, number of senses an
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