Artificial intelligence for fashion : how AI is revolutionizing the fashion industry

목차 (Table of Contents)

• CONTENTS
• About the Author = xv
• Acknowledgments = xvii
• Preface = xix
• Introduction = xxv
• Part Ⅰ : Introduction = 1
• Chapter 1 Basics of Artificial Intelligence = 3
• Why Does AI Matter? = 4
• What Is AI? = 4
• Machine Learning = 5
• What Is Intelligence? = 6
• The Turing Test = 6
• How Machines Learn = 7
• What Is Learning? = 7
• Machine Perception = 8
• Language = 9
• Topics in Artificial Intelligence = 9
• Application Areas = 10
• Tools and Techniques = 13
• Summary = 15
• Terminology from This Chapter = 16
• Part Ⅱ : Shopping and Product Discovery = 19
• Chapter 2 Natural Language Processing and Conversational Shopping = 21
• Natural Language Processing = 22
• ELIZA = 22
• Chatbots = 23
• Specialized Chatbots = 23
• Conversational Commerce = 24
• Natural Language Queries = 24
• Shopping and Messaging = 25
• Personalized Shopping Experiences = 26
• Bot-to-Bot Interaction = 27
• Context-Based Decision Making = 27
• Live Chat = 28
• How Machines Read = 29
• Tokenization = 30
• Word Embeddings = 31
• Part-of-Speech Tagging = 32
• Named Entity Recognition = 32
• Natural Language Understanding = 33
• Sentiment Analysis = 33
• Relation Extraction = 34
• Summary = 35
• Terminology from This Chapter = 36
• Chapter 3 Computer Vision and Smart Mirrors = 39
• Retail Meltdown = 40
• Smart Mirrors = 40
• Data Collection = 42
• Social Sharing and Checkout = 42
• Implementation = 44
• Computer Vision = 44
• Transformation = 45
• Filtering = 46
• Feature Extraction = 47
• Image Classification = 50
• Beyond Static and 2D Images = 50
• Summary = 50
• Terminology from This Chapter = 51
• Chapter 4 Neural Networks and Image Search = 53
• Fashion Industry Images = 54
• Image Search = 54
• Image Tagging = 56
• Reverse Image Search = 56
• Visual Search = 58
• Neural Networks = 59
• Types of Neural Networks = 60
• Feed-Forward Neural Networks = 60
• Recurrent Neural Networks = 62
• Convolutional Neural Networks = 63
• Training Neural Networks = 64
• Training Data = 65
• Standardized Datasets = 65
• Adversarial Examples = 67
• Adversarial Image Overlays = 68
• Adversarial Additions = 69
• Adversarial Objects = 70
• Possible Implications = 70
• Summary = 71
• Terminology from This Chapter = 71
• Chapter 5 Virtual Style Assistants = 75
• Virtual Style Assistants = 76
• Personal Stylists = 76
• Virtual Assistants = 77
• Voice Interfaces = 77
• Features of the Virtual Style Assistant = 78
• Existing Examples = 78
• Amazon's Echo Look = 79
• The Hardware = 80
• Image-Based Reviews = 82
• The Future of Image-Based Reviews = 82
• Artificial General Intelligence = 83
• Hybrid Intelligence = 84
• Pitfalls of Artificial General Intelligence = 84
• Dangers of AI = 84
• Summary = 85
• Terminology from This Chapter = 86
• Part Ⅲ : Sales = 87
• Chapter 6 Data Science and Subscription Services = 89
• Subscription Models = 90
• Brand Subscriptions = 92
• Targeted Subscriptions = 92
• User-Selected Subscriptions = 92
• Consumables Subscriptions = 93
• Rental Subscriptions = 93
• Digital Personalization = 94
• Recommendation Engines = 95
• Data Science = 97
• Summary = 104
• Terminology from This Chapter = 104
• Chapter 7 Predictive Analytics and Size Recommendations = 107
• The Fit Problem = 107
• What Are Predictive Analytics? = 108
• Learning Fit = 109
• Other Applications for Predictive Analytics = 111
• Implementing Predictive Analytics Systems = 111
• Data Visualization = 115
• Models = 116
• Enterprise Tools = 116
• Technology Blogs at Fashion Companies = 117
• Data Responsibility = 118
• General Data Protection Regulation = 118
• Data and Third-Party Vendors = 119
• Legal = 119
• Summary = 120
• Terminology in This Chapter = 120
• Part Ⅳ : Designing = 123
• Chapter 8 Generative Models as Fashion Designers = 125
• AI Fashion Designer = 125
• Artificial Creativity = 126
• Mapping Garments onto Images of People = 127
• Turning Sketches into Color Images = 129
• How Generative Models Work = 129
• Limitations = 131
• Why GANs? = 131
• Implementation Example : AI Fashion Blogger = 132
• How It Works = 133
• Training GANs = 134
• Improving Results = 136
• The Future of GANs = 137
• Summary = 137
• Terminology from This Chapter = 138
• Chapter 9 Data Mining and Trend Forecasting = 141
• Trend Forecasting = 141
• Social Media = 142
• Social Media Mining = 143
• What Is Data Mining? = 144
• APIs = 145
• Web Scraping = 147
• Web Crawlers = 148
• Data Warehousing = 149
• Summary = 150
• Terminology from This Chapter = 151
• Part Ⅴ : Supply Chain = 153
• Chapter 10 Deep Learning and Demand Forecasting = 155
• What Is Demand Forecasting? = 156
• Forecasting Methods = 156
• Fashion's Challenges in Forecasting = 157
• Overproduction = 157
• Fast and Short Seasons = 157
• Consumer Behavior = 158
• Nonforecasting Solutions = 158
• Price Prediction = 158
• Deep Learning = 159
• What Is Deep Learning? = 160
• Deep Learning for Demand Forecasting = 161
• Techniques for Smaller Datasets = 161
• Transfer Learning = 162
• Other Forecasting Models = 163
• Summary = 165
• Terminology from This Chapter = 166
• Chapter 11 Robotics and Manufacturing = 167
• Robots in Popular Culture = 167
• Robots and Women = 168
• What Is a Robot? = 170
• Types of Robots = 170
• Industrial Robots = 171
• Articulated Robots = 171
• End Effectors = 172
• Sewing Robots = 173
• Advantages of Robotics in Sewing = 175
• Designing for Robots = 176
• Automation and Robotics = 176
• Questions of Responsible Automation = 177
• Supply-Chain Robotics = 177
• Lights-Out Manufacturing = 178
• Summary = 178
• Terminology from This Chapter = 179
• Part Ⅵ : Future = 183
• Chapter 12 Democratization and Impacts of AI = 185
• Lowering the Barrier to Entry = 186
• Simplified Interfaces = 186
• Developer Tools = 187
• Access to Data = 187
• Open Source = 188
• Specialized Hardware = 189
• GPUs and TPUs = 189
• Cloud Services = 190
• Tutorials and Online Courses = 191
• Impact on Jobs = 191
• Ethics and the Future = 192
• Race and Gender = 193
• The Partnership on AI = 193
• Summary = 194
• Terminology from This Chapter = 194
• Bibliography = 197
• General References = 197
• Adversarial Examples = 199
• Chatbots, Virtual Style Assistants = 199
• Computer Vision, Visual Search = 201
• Data, Data Mining = 202
• Demand Forecasting = 202
• Ethics = 203
• Generative Models = 203
• Natural Language Processing = 206
• Neural Networks = 207
• Predictive Analytics, Recommendation Engines = 208
• Robotics, Impact = 210
• Specialized Hardware = 210
• Projects, Companies = 211
• Index = 213