Book Content
chapters • 10h28m total length
1. Overview of TensorFlow Enterprise
2. Running TensorFlow Enterprise in Google AI Platform
3. Data Preparation and Manipulation Techniques
4. Reusable Models and Scalable Data Pipelines
5. Training at Scale
6. Hyperparameter Tuning
7. Model Optimization
8. Best Practices for Model Training and Performance
9. Serving a TensorFlow Model














