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020			_a9781032792910
040			_aNISER LIBRARY _beng _cNISER LIBRARY
082			_a004.85 _bGHA-D
100	1		_aGhayoumi, Mehdi
245			_aDeep learning in practice
260			_aBoca Raton : _bCRC Press, Taylor and Francis Group, _c2022.
300			_axix, 198 pages.
504			_aIncludes bibliographical references (pages 189-193) and index.
520			_aDeep 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.
521			_aThis 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.
650			_aDeep learning (Machine learning)
856			_3Table of content _uhttps://www.routledge.com/Deep-Learning-in-Practice/Ghayoumi/p/book/9780367458621#googlePreviewContainer
856			_3Reviews _uhttps://www.goodreads.com/book/show/58394149-deep-learning-in-practice?ac=1&from_search=true&qid=ysFE1DyorM&rank=1#CommunityReviews
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