Deep learning with Azure : building and deploying artificial intelligence solutions on the Microsoft AI platform /: building and deploying artificial intelligence solutions on the Microsoft AI platform. (2018)

• Record Type: Book
• Further Information: Note: Mathew Salvaris, Danielle Dean, Wee Hyong Tok.
• Authors: Salvaris, Mathew; Dean, Danielle; Tok, Wee-Hyong
• Contents: 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 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 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 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 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
• Publisher Details: New York : Apress
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 004.67/82; Computer science; Microsoft Azure (Computing platform); COMPUTERS / Computer Literacy; COMPUTERS / Computer Science; COMPUTERS / Data Processing; COMPUTERS / Hardware / General; COMPUTERS / Information Technology; COMPUTERS / Machine Theory; COMPUTERS / Reference; Computers -- Computer Science; Program concepts / learning to program; Microsoft software; Microsoft .NET Framework; Electronic data processing; Computers -- Programming -- Microsoft Programming; Microsoft programming; Electronic books
• Languages: English
• ISBNs: 9781484236796; 1484236793
• Related ISBNs: 9781484236789
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed August 29, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.