課程大綱： Google Cloud AutoML培訓
Introduction
Overview of AutoML Features and Architecture
Google’s ML ecosystem
AutoML line of products
Working With Google’s Machine Learning Ecosystem
Applications for AutoML products
Challenges and limitations
Evaluating Content Using AutoML Natural Language
Preparing datasets
Creating and deploying models
Text and document training (classification, extraction, analysis)
Classifying Images Using AutoML Vision
Labeling images
Training and evaluating models
AutoML Vision Edge
Creating Translation Models Using AutoML Translation
Preparing datasets (source and target language)
Creating and managing models
Testing models
Making Predictions from Trained Models
Analyzing documents
Image prediction
Translating content
Exploring Other AutoML Products
AutoML Tables for structured data
AutoML Video Intelligence for videos
Troubleshooting
Summary and Conclusion
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