10_Taking_TensorFlow_to_Production

Ch 10:Taking TensorFlow to Production

1. Implementing Unit Tests

• We show how to implement different types of unit tests on tensors (placeholders and variables).

2. Using Multiple Executors (Devices)

• How to use a machine with multiple devices. E.g., a machine with a CPU, and one or more GPUs.

3. Parallelizing TensorFlow

• How to setup and use TensorFlow distributed on multiple machines.

4. Tips for TensorFlow in Production

• Various tips for developing with TensorFlow

5. An Example of Productionalizing TensorFlow

• We show how to do take the RNN model for predicting ham/spam (from Chapter 9, recipe #2) and put it in two production level files: training and evaluation.