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Classroom Contents
Neural Structured Learning in TensorFlow
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- 1 Intro
- 2 How a Typical Neural Net Works
- 3 Neural Structured Learning (NSL)
- 4 Structure Among Samples
- 5 NSL: Advantages of Learning with Structure
- 6 Scenario Il: Model Robustness Required Example task: Image Classification
- 7 NSL: Neural Graph Learning Joint optimization with label and structured signals
- 8 NSL: Neural Graph Learning in Practice
- 9 NSL: Adversarial Learning
- 10 Libraries, Tools and Trainers
- 11 NSL Resource: Hands-on Tutorials
- 12 Learning Image Semantic Embedding
- 13 Neural Architecture
