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Titlebook: Introduction to Deep Learning for Engineers; Using Python and Goo Tariq M. Arif Book 2020 Springer Nature Switzerland AG 2020

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发表于 2025-3-21 17:41:10 | 显示全部楼层 |阅读模式
书目名称Introduction to Deep Learning for Engineers
副标题Using Python and Goo
编辑Tariq M. Arif
视频video
丛书名称Synthesis Lectures on Mechanical Engineering
图书封面Titlebook: Introduction to Deep Learning for Engineers; Using Python and Goo Tariq M. Arif Book 2020 Springer Nature Switzerland AG 2020
描述.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 journe
出版日期Book 2020
版次1
doihttps://doi.org/10.1007/978-3-031-79665-4
isbn_softcover978-3-031-79664-7
isbn_ebook978-3-031-79665-4Series ISSN 2573-3168 Series E-ISSN 2573-3176
issn_series 2573-3168
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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发表于 2025-3-21 23:35:45 | 显示全部楼层
Tariq M. Arifltiple perspectives of cognitive externalisms.Brings togetheThis book offers a new and externalist perspective in ignorance studies. Agnotology, the epistemology of ignorance, and, more generally, ignorance studies have grown to cover and explore different phenomena and subjects of research, from kn
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Tariq M. Arif. These films include Danny Boyle’s . (2002); its sequel, Juan Carlos Fesnadillo’s . (2007); and William Friedkin’s . (1973), a story of demonic possession that roughly occurs over 28 days, coincidentally the number in the eighth chapter of the Gospel of Matthew, where Jesus encounters “two possesse
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Tariq M. Arif, Marion Crane (Janet Leigh), a real estate clerk, absconds with $40,000 in order to marry Sam Loomis (John Gavin), with whom she is carrying on an affair. She flees and, during a freak storm, checks into a desolate motel, where she meets Norman Bates (Anthony Perkins), who seems at first gentle, fr
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Tariq M. Arif and their real-world implications. Yet, within an embodied learning context, how do newcomers to these perspectives engage Indigenous and feminist ways of knowing in a respectful and meaningful way? Two-Eyed Seeing, a methodological model that balances diverse perspectives, offers one such option.
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978-3-031-79664-7Springer Nature Switzerland AG 2020
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