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         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