Автор: Hoeger Wener W. K., Hoeger Sharon a., Hoeger Cherie I. Название: Principles and Labs for Fitness and Wellness ISBN: 0357020251 ISBN-13(EAN): 9780357020258 Издательство: Cengage Learning Рейтинг: Цена: 83410.00 T Наличие на складе: Нет в наличии. Описание: Emphasizes behavior modification through sensible approaches and provides a strong focus on the practical ways you can incorporate changes into in your daily life.
Автор: Fahey, Thomas Insel, Paul Roth, Walton Название: Ise fit & well: core concepts and labs in physical fitness and wellness ISBN: 1260575322 ISBN-13(EAN): 9781260575323 Издательство: McGraw-Hill Рейтинг: Цена: 68630.00 T Наличие на складе: Невозможна поставка. Описание: HE Social Science
Автор: Huei-Huang Lee Название: Engineering Dynamics Labs with SOLIDWORKS Motion 2015 ISBN: 1585039357 ISBN-13(EAN): 9781585039357 Издательство: Taylor&Francis Рейтинг: Цена: 59190.00 T Наличие на складе: Невозможна поставка. Описание: This book is designed as a software-based lab book to complement a standard textbook in an engineering dynamics course, which is usually taught at the undergraduate level. This book can also be used as an auxiliary workbook in a CAE or Finite Element Analysis course for undergraduate students. Each book comes with a disc containing video demonstrations, a quick introduction to SOLIDWORKS eBook, and all the part files used in the book. This textbook has been carefully developed with the understanding that CAE software has developed to a point that it can be used as a tool to aid students in learning engineering ideas, concepts and even formulas. These concepts are demonstrated in each section of this book. Using the graphics-based tools of SOLIDWORKS Motion can help reduce the dependency on mathematics to teach these concepts substantially. The contents of this book have been written to match the contents of most mechanics of materials textbooks. There are 11 chapters in this book. Each chapter contains two sections. Each section is designed for a student to follow the exact steps in that section and learn a concept or topic of Engineering Dynamics. Typically, each section takes 20-40 minutes to complete the exercises. Each copy of this book comes with a disc containing videos that demonstrate the steps used in each section of the book, a 123 page introduction to Part and Assembly Modeling with SOLIDWORKS in PDF format, and all the files readers may need if they have any trouble. The concise introduction to SOLIDWORKS PDF is designed for those students who have no experience with SOLIDWORKS and want to feel more comfortable working on the exercises in this book. All of the same content is available for download on the booka€™s companion website.
Автор: Huei-Huang Lee Название: Engineering Statics Labs with Solidworks Motion 2015 ISBN: 1585039411 ISBN-13(EAN): 9781585039418 Издательство: Taylor&Francis Рейтинг: Цена: 59190.00 T Наличие на складе: Невозможна поставка. Описание: This book is designed as a software-based lab book to complement a standard textbook in an engineering statics course, which is usually taught at the undergraduate level. This book can also be used as an auxiliary workbook in a CAE or Finite Element Analysis course for undergraduate students. Each book comes with a disc containing video demonstrations, a quick introduction to SOLIDWORKS, and all the part files used in the book. This textbook has been carefully developed with the understanding that CAE software has developed to a point that it can be used as a tool to aid students in learning engineering ideas, concepts and even formulas. These concepts are demonstrated in each section of this book. Using the graphics-based tools of SOLIDWORKS Motion can help reduce the dependency on mathematics to teach these concepts substantially. The contents of this book have been written to match the contents of most statics textbooks. There are 8 chapters in this book. Each chapter is designed as one weeka€™s workload, consisting of 2 to 3 sections. Each section is designed for a student to follow the exact steps in that section and learn a concept or topic of statics. Typically, each section takes 15-40 minutes to complete the exercises. Each copy of this book comes with a disc containing videos that demonstrate the steps used in each section of the book, a 123 page introduction to Part and Assembly Modeling with SOLIDWORKS in PDF format, and all the files readers may need if they have any trouble. The concise introduction to SOLIDWORKS PDF is designed for those students who have no experience with SOLIDWORKS and want to feel more comfortable working on the exercises in this book. All of the same content is available for download on the booka€™s companion website.
Автор: Huang Shih-Chia, Le Trung-Hieu Название: Principles and Labs for Deep Learning ISBN: 0323901980 ISBN-13(EAN): 9780323901987 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code examples, and analyzed through the visualization of results. The structured methods and labs provided by Dr. Huang and Dr. Le enable readers to become proficient in TensorFlow to build deep Convolutional Neural Networks (CNNs) through custom APIs, high-level Keras APIs, Keras Applications, and TensorFlow Hub. Each chapter has one corresponding Lab with step-by-step instruction to help the reader practice and accomplish a specific learning outcome.
Deep Learning has been successfully applied in diverse fields such as computer vision, audio processing, robotics, natural language processing, bioinformatics and chemistry. Because of the huge scope of knowledge in Deep Learning, a lot of time is required to understand and deploy useful, working applications, hence the importance of this new resource. Both theory lessons and experiments are included in each chapter to introduce the techniques and provide source code examples to practice using them. All Labs for this book are placed on GitHub to facilitate the download. The book is written based on the assumption that the reader knows basic Python for programming and basic Machine Learning.
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