Book Content
chapters • 6h44m total length
1. Getting Started with TensorFlow 2.0
2. Keras Default Integration and Eager Execution
3. Design and Construct Input Data Pipelines
4. Model Training and Use of Tensorboard
5. Model Inference Pipelines: Multi-platform Deployments
6. AIY Projects and TensorFlow Lite
7. Migrating from TensorFlow 1.x to 2.0














