Building a TensorFlow Pipeline

Creating a TensorFlow training job

In this lesson, we will build a TensorFlow model from scratch.

Step 1: Create a high-compute environment

We will use the compute we created in the previous lesson. If we need high computation, we can use compute GPUs instead.

Step 2: Choosing the right environment

Depending on the library and CPU/GPU availability, we have two options:

1. Use a built-in environment, if available. We can find the list of environments in Azure Machine Learning studio.