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Computational Methods for Deep Learning

2020-12-04 Computers
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Release : 2020-12-04
Genre : Computers
Kind : eBook
Book Rating : 810/5 ( reviews)

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Book Synopsis Computational Methods for Deep Learning by : Wei Qi Yan

Download or read book Computational Methods for Deep Learning written by Wei Qi Yan. This book was released on 2020-12-04. Available in PDF, EPUB and Kindle. Book excerpt: Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms. As a prerequisite, readers should have a solid understanding especially of mathematical analysis, linear algebra, numerical analysis, optimizations, differential geometry, manifold, and information theory, as well as basic algebra, functional analysis, and graphical models. This computational knowledge will assist in comprehending the subject matter not only of this text/reference, but also in relevant deep learning journal articles and conference papers. This textbook/guide is aimed at Computer Science research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book is also helpful for those researchers who are interested in machine intelligence, pattern analysis, natural language processing, and machine vision. Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title, Visual Cryptography for Image Processing and Security.

Computational Methods for Deep Learning

2021 Big data
Download Computational Methods for Deep Learning PDF Online Free

Author :
Release : 2021
Genre : Big data
Kind : eBook
Book Rating : 821/5 ( reviews)

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Book Synopsis Computational Methods for Deep Learning by : Wei Qi Yan

Download or read book Computational Methods for Deep Learning written by Wei Qi Yan. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical models, and algorithmic implementation, as well as covers datasets preparation, programming, results analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep-learning toolboxes for implementing deep learning algorithms. As a prerequisite, readers should have a solid understanding especially of mathematical analysis, linear algebra, numerical analysis, optimizations, differential geometry, manifold, and information theory, as well as basic algebra, functional analysis, and graphical models. This computational knowledge will assist in comprehending the subject matter not only of this text/reference, but also in relevant deep learning journal articles and conference papers. This textbook/guide is aimed at Computer Science research students and engineers, as well as scientists interested in deep learning for theoretic research and analysis. More generally, this book is also helpful for those researchers who are interested in machine intelligence, pattern analysis, natural language processing, and machine vision. Dr. Wei Qi Yan is an Associate Professor in the Department of Computer Science at Auckland University of Technology, New Zealand. His other publications include the Springer title, Visual Cryptography for Image Processing and Security.

Computational Methods for Deep Learning

2023-09-16 Computers
Download Computational Methods for Deep Learning PDF Online Free

Author :
Release : 2023-09-16
Genre : Computers
Kind : eBook
Book Rating : 222/5 ( reviews)

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Book Synopsis Computational Methods for Deep Learning by : Wei Qi Yan

Download or read book Computational Methods for Deep Learning written by Wei Qi Yan. This book was released on 2023-09-16. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

Computational Mechanics with Neural Networks

2021-02-26 Technology & Engineering
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Release : 2021-02-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : 113/5 ( reviews)

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Book Synopsis Computational Mechanics with Neural Networks by : Genki Yagawa

Download or read book Computational Mechanics with Neural Networks written by Genki Yagawa. This book was released on 2021-02-26. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics.

Computational Methods for Deep Learning

2023-10-17 Computers
Download Computational Methods for Deep Learning PDF Online Free

Author :
Release : 2023-10-17
Genre : Computers
Kind : eBook
Book Rating : 231/5 ( reviews)

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Book Synopsis Computational Methods for Deep Learning by : Wei Qi Yan

Download or read book Computational Methods for Deep Learning written by Wei Qi Yan. This book was released on 2023-10-17. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas.

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