عنوان

Deep learning with Azure :

شابک

1484236793

شابک

1484236807

شابک

9781484236796

شابک

9781484236802

شابک اشتباه

1484236785

شابک اشتباه

9781484236789

عنوان اصلي

Deep learning with Azure :

نام عام مواد

[Book]

ساير اطلاعات عنواني

building and deploying artificial intelligence solutions on the Microsoft AI platform /

نام نخستين پديدآور

Mathew Salvaris, Danielle Dean, Wee Hyong Tok.

محل نشرو پخش و غیره

New York :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Intro; Table of Contents; About the Authors; About the Guest Authors of Chapter 7; About the Technical Reviewers; Acknowledgments; Foreword; Introduction; Part I: Getting Started with AI; Chapter 2: Overview of Deep Learning; Common Network Structures; Convolutional Neural Networks; Recurrent Neural Networks; Generative Adversarial Networks; Autoencoders; Deep Learning Workflow; Finding Relevant Data Set(s); Data Set Preprocessing; Training the Model; Validating and Tuning the Model; Deploy the Model; Deep Learning Frameworks & Compute.

متن يادداشت

Azure Machine Learning StudioIntegrated Development Environments; Deep Learning Frameworks; Broader Azure Platform; Getting Started with the Deep Learning Virtual Machine; Running the Notebook Server; Summary; Chapter 5: Cognitive Services and Custom Vision; Prebuilt AI: Why and How?; Cognitive Services; What Types of Cognitive Services Are Available?; Computer Vision APIs; How to Use Optical Character Recognition-; How to Recognize Celebrities and Landmarks; How Do I Get Started with Cognitive Services?; Custom Vision; Hello World! for Custom Vision; Exporting Custom Vision Models; Summary.

متن يادداشت

Jump Start Deep Learning: Transfer Learning and Domain AdaptationModels Library; Summary; Chapter 3: Trends in Deep Learning; Variations on Network Architectures; Residual Networks and Variants; DenseNet; Small Models, Fewer Parameters; Capsule Networks; Object Detection; Object Segmentation; More Sophisticated Networks; Automated Machine Learning; Hardware; More Specialized Hardware; Hardware on Azure; Quantum Computing; Limitations of Deep Learning; Be Wary of Hype; Limits on Ability to Generalize; Data Hungry Models, Especially Labels; Reproducible Research and Underlying Theory.

متن يادداشت

Looking Ahead: What Can We Expect from Deep Learning?Ethics and Regulations; Summary; Chapter 1: Introduction to Artificial Intelligence; Microsoft and AI; Machine Learning; Deep Learning; Rise of Deep Learning; Applications of Deep Learning; Summary; Part II: Azure AI Platform and Experimentation Tools; Chapter 4: Microsoft AI Platform; Services; Prebuilt AI: Cognitive Services; Conversational AI: Bot Framework; Custom AI: Azure Machine Learning Services; Custom AI: Batch AI; Infrastructure; Data Science Virtual Machine; Spark; Container Hosting; Data Storage; Tools.

متن يادداشت

Part III: AI Networks in PracticeChapter 6: Convolutional Neural Networks; The Convolution in Convolution Neural Networks; Convolution Layer; Pooling Layer; Activation Functions; Sigmoid; Tanh; Rectified Linear Unit; CNN Architecture; Training Classification CNN; Why CNNs; Training CNN on CIFAR10; Training a Deep CNN on GPU; Model 1; Model 2; Model 3; Model 4; Transfer Learning; Summary; Chapter 7: Recurrent Neural Networks; RNN Architectures; Training RNNs; Gated RNNs; Sequence-to-Sequence Models and Attention Mechanism; RNN Examples; Example 1: Sentiment Analysis.

بدون عنوان

0

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

بدون عنوان

8

متن يادداشت

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI?Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll LearnBecome familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AIUse pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more)Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolvingDiscover the options for training and operationalizing deep learning models on Azure Who This Book Is ForProfessional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.

منبع سفارش / آدرس اشتراک

OverDrive, Inc.

شماره انبار

E892926D-68E7-487B-913C-4ADC80A9D666

عنوان

Deep learning with Azure.

شماره استاندارد بين المللي کتاب و موسيقي

9781484236789

موضوع مستند نشده

Microsoft Azure (Computing platform)

موضوع مستند نشده

COMPUTERS-- Computer Literacy.

موضوع مستند نشده

COMPUTERS-- Computer Science.

موضوع مستند نشده

COMPUTERS-- Data Processing.

موضوع مستند نشده

COMPUTERS-- Hardware-- General.

موضوع مستند نشده

COMPUTERS-- Information Technology.

موضوع مستند نشده

COMPUTERS-- Machine Theory.

موضوع مستند نشده

COMPUTERS-- Reference.

موضوع مستند نشده

Microsoft Azure (Computing platform)

موضوع مستند نشده

Microsoft programming.

موضوع مستند نشده

Program concepts-- learning to program.

موضوع مستند نشده

COM-- 013000

موضوع مستند نشده

COM-- 014000

موضوع مستند نشده

COM-- 018000

موضوع مستند نشده

COM-- 032000

موضوع مستند نشده

COM-- 037000

موضوع مستند نشده

COM-- 052000

موضوع مستند نشده

COM-- 067000

موضوع مستند نشده

UMP

موضوع مستند نشده

UMP

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Salvaris, Mathew

مستند نام اشخاص تاييد نشده

Dean, Danielle

مستند نام اشخاص تاييد نشده

Tok, Wee-Hyong

تاريخ عمليات

20200823032205.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y