Table of Contents
- Getting Started with TensorFlow 2.0
- Keras Default Integration and Eager Execution
- Design and Construct Input Data Pipelines
- Model Training and Use of Tensorboard
- Model Inference Pipelines: Multi-platform Deployments
- AIY Projects and TensorFlow Lite
- Migrating from TensorFlow 1.x to 2.0
