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Online Public Access Catalogue

题名/责任者:

Deep learning in practice / Mehdi Ghayoumi.

版本说明:

First edition.

出版发行项:

Boca Raton, FL : CRC Press, 2022.

ISBN:

9780367458621

ISBN:

0367458624

ISBN:

9780367456580

ISBN:

0367456583

载体形态项:

xix, 198 pages : illustrations ; 25 cm

个人责任者:

Ghayoumi, Mehdi, author.

论题主题:

Deep learning (Machine learning)

中图法分类号:

TP181

书目附注:

Includes bibliographical references and index.

摘要附注:

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures. Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals. Explains and provides examples of deploying TensorFlow and Keras in several projects. Explains the fundamentals of Artificial Neural Networks (ANNs). Presents several examples and applications of ANNs. Learning the most popular DL algorithms features. Explains and provides examples for the DL algorithms that are presented in this book. Analyzes the DL network's parameter and hyperparameters. Reviews state-of-the-art DL examples. Necessary and main steps for DL modeling. Implements a Virtual Assistant Robot (VAR) using DL methods. Necessary and fundamental information to choose a proper DL algorithm. Gives instructions to learn how to optimize your DL model IN PRACTICE. This book is useful for undergraduate and graduate students, as well as practitioners in industry and academia. It will serve as a useful reference for learning deep learning fundamentals and implementing a deep learning model for any project, step by step.

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