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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks, Long Liangqu, Zeng Xiangming


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Автор: Long Liangqu, Zeng Xiangming
Название:  Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks
ISBN: 9781484279144
Издательство: Springer
Классификация:
ISBN-10: 148427914X
Обложка/Формат: Paperback
Страницы: 740
Вес: 1.02 кг.
Дата издания: 11.02.2022
Язык: English
Издание: 1st ed.
Иллюстрации: 323 illustrations, black and white; xxiii, 713 p. 323 illus.
Размер: 23.39 x 15.60 x 3.76 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Work with keras, mnist data sets, and advanced neural networks
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners. You’ll start with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! What Youll Learn * Develop using deep learning algorithms * Build deep learning models using TensorFlow 2 * Create classification systems and other, practical deep learning applications Who This Book Is For Students, programmers, and researchers with no experience in deep learning who want to build up their basic skillsets. Experienced machine learning programmers and engineers might also find value in updating their skills.
Дополнительное описание: Chapter 1: Introduction to Artificial Intelligence.- Chapter 2. Regression.- Chapter 3. Classification.- Chapter 4. Basic Tensorflow.- Chapter 5. Advanced Tensorflow.- Chapter 6. Neural Network.- Chapter 7. Backward Propagation Algorithm.- Chapter 8. Kera



Tensorflow Deep Learning Projects

Автор: Boschetti Alberto, Massaron Luca, Thakur Abhishek
Название: Tensorflow Deep Learning Projects
ISBN: 1788398068 ISBN-13(EAN): 9781788398060
Издательство: Неизвестно
Цена: 8091.00 р.
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Описание: This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will train high-performance models in TensorFlow to generate captions for images automatically, predict stocks` performance, create intelligent chatbots, perform large-scale text classification, develop recommendation systems, and more.

Hands-On Neural Networks with Keras

Автор: Purkait Niloy
Название: Hands-On Neural Networks with Keras
ISBN: 1789536081 ISBN-13(EAN): 9781789536089
Издательство: Неизвестно
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Цена: 8091.00 р.
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Описание: This book will intuitively build on the fundamentals of neural networks, deep learning and thoughtfully guide the readers through real-world use cases. You will learn to implement neural networks as well as how to develop and embed intelligence in products and services using the latest open source and industry level tools available in the market.

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Автор: Geron Aurelien
Название: Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems
ISBN: 1492032646 ISBN-13(EAN): 9781492032649
Издательство: Wiley
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Цена: 9502.00 р.
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Описание:

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.

The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.

Deep Learning with TensorFlow 2 and Keras - Second Edition

Автор: Gulli Antonio, Pal Sujit, Kapoor Amita
Название: Deep Learning with TensorFlow 2 and Keras - Second Edition
ISBN: 1838823417 ISBN-13(EAN): 9781838823412
Издательство: Неизвестно
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Цена: 8091.00 р.
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Описание: ITIL(R) 4 Managing Professional CoursewareITIL 4 Managing Professional (ITIL MP) consists of four modules and is the next level of ITIL 4 to be released after ITIL 4 Foundation. ITIL MP targets IT practitioners working within technology and digital teams across businesses. The Managing Professional (MP) stream provides practical and technical knowledge about how to run successful IT-enabled services, teams and workflows. The Managing Professional Transition module is designed to allow ITIL v3 candidates to easily transition to ITIL 4. They can get the ITIL 4 Managing Professional designation through one course and one exam. The material includes;¢ Updated glossaries with highlighted changes for `Create, Deliver & Support`, `Drive Stakeholder Value` and `Direct, Plan & Improve`¢ New diagram packs with annotations for `Create, Deliver & Support`, `Drive Stakeholder Value` and `Direct, Plan & Improve`¢ Updated syllabi with highlighted changes for `Create, Deliver & Support`, `Drive Stakeholder Value` and `Direct, Plan & Improve`¢ The `High Velocity IT` manuscript, syllabus, glossary and diagram pack remain unchanged¢ Practices Overviews and the product brochure remain unchanged¢ An up-to-date Quick Reference Guide with all the information you need¢ Updated Core Manuscripts, for `Create, Deliver & Support`, `Drive Stakeholder Value` and `Direct, Plan & Improve`¢ While the changes are quite large, they have been made for streamlining or refinement only¢ There have been no changes to the examinable content or the key concepts

Convolutional neural networks with swift for tensorflow

Автор: Koonce, Brett
Название: Convolutional neural networks with swift for tensorflow
ISBN: 1484261674 ISBN-13(EAN): 9781484261675
Издательство: Springer
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Цена: 7685.00 р.
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Описание:
Chapter 1: MNIST: 1D Neural Network
Chapter 2: MNIST: 2D Neural Network
Chapter 3: CIFAR: 2D Nueral Network with Blocks
Chapter 4: VGG Network
Chapter 5: Resnet 34
Chapter 6: Resnet 50
Chapter 7: SqueezeNet

Chapter 8: MobileNrt v1
Chapter 9: MobileNet v2
Chapter 10: Evolutionary Strategies
Chapter 11: MobileNet v3
Chapter 12: Bag of Tricks
Chapter 13: MNIST Revisited
Chapter 14: You are Here

Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects

Автор: Sarang Poornachandra
Название: Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects
ISBN: 1484261496 ISBN-13(EAN): 9781484261491
Издательство: Springer
Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what`s new in TensorFlow 2, you`ll dive right into developing machine learning models through applicable projects.

Hands-on neural networks with tensorflow 2.0

Автор: Galeone, Paolo
Название: Hands-on neural networks with tensorflow 2.0
ISBN: 1789615550 ISBN-13(EAN): 9781789615555
Издательство: Неизвестно
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Цена: 7363.00 р.
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Описание: This book is a guide to the TensorFlow (TF) framework, from the static graph architecture of TF 1.x to the eager execution and all the new features introduced in TF 2.0. Neural Networks applications are developed throughout the book with the aim of making the reader capable of developing neural networks-based solutions to real problems using TF 2.0

Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques

Автор: Kar Krishnendu
Название: Mastering Computer Vision with TensorFlow 2.x: Build advanced computer vision applications using machine learning and deep learning techniques
ISBN: 1838827064 ISBN-13(EAN): 9781838827069
Издательство: Неизвестно
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Цена: 9010.00 р.
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Описание: You will learn the principles of computer vision and deep learning, and understand various models and architectures with their pros and cons. You will learn how to use TensorFlow 2.x to build your own neural network model and apply it to various computer vision tasks such as image acquiring, processing, and analyzing.

R Deep Learning Cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet

Автор: Prakash Pks, Rao Achyutuni Sri Krishna
Название: R Deep Learning Cookbook: Solve complex neural net problems with TensorFlow, H2O and MXNet
ISBN: 1787121089 ISBN-13(EAN): 9781787121089
Издательство: Неизвестно
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Цена: 9010.00 р.
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Описание: Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with huge and complex data is remarkable. This book will help you to get through the problems that you face during the execution of different tasks and understand hacks in deep learning, neural networks, and advanced machine learning techn...

Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js

Автор: Suryadevara Nagender Kumar
Название: Beginning Machine Learning in the Browser: Quick-Start Guide to Gait Analysis with JavaScript and Tensorflow.Js
ISBN: 1484268423 ISBN-13(EAN): 9781484268421
Издательство: Springer
Цена: 6288.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Chapter 1: What is Machine Learning (ML)? Basics of Java Script (JS) Programming in the browser using Java Script Graphics and Interactive processing in the browser using Java Script libraries Getting started with P5.JS and ML5.JS References
Chapter 2: Human Pose Estimation in the Browser Browser based data processing Posenet vs Openpose models Human pose estimation using ML5.Posenet Inputs, Outputs and Data structures of Posenet model References
Chapter 3: Human Pose Classification Classification techniques using ML Neural Network in the browser Human Pose classification based on the outputs of Posenet model Consideration of poses using Confidence scores of Posenet model Storage of data using JSON formats related to the outputs of Posenet model References
Chapter 4: Gait Analysis Normal vs Abnormal Gait patterns Determination of Gait patterns using threshold values of the models User Interface design and development for monitoring of Gait patterns Real-Time data visualization of the Gait patterns on the browser References
Chapter 5: Future Possible Applications of Key Concepts

Deep Learning with Tensorflow - Second Edition

Автор: Zaccone Giancarlo, Karim MD Rezaul
Название: Deep Learning with Tensorflow - Second Edition
ISBN: 1788831101 ISBN-13(EAN): 9781788831109
Издательство: Неизвестно
Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Compliant with TensorFlow 1.7, this book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge architectures and apply advanced concepts to your own projects. Develop your knowledge of deep neural networks through hands-on model building and examples of real-world data collection.

Learning Tensorflow: A Guide to Building Deep Learning Systems

Автор: Hope Tom, Resheff Yehezkel S., Lieder Itay
Название: Learning Tensorflow: A Guide to Building Deep Learning Systems
ISBN: 1491978511 ISBN-13(EAN): 9781491978511
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.


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