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Classroom Contents
Train a Production-Level Image Classifier
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- 1 Introduction
- 2 Recap
- 3 Training Dataset
- 4 Training Network Architecture
- 5 Training Workflow
- 6 Basic Workflow
- 7 Configuration File
- 8 Image Augmentation
- 9 Basic Idea
- 10 Dropout Layers
- 11 Label Smoothening
- 12 Transfer Learning
- 13 Learning Rate Schedule
- 14 Blind Training
- 15 Create Notebook
- 16 Create Template
- 17 Apply Template
- 18 Experiments
- 19 Future Directions
- 20 Remote Training
