Model Inference

• 11/22/2019
• 2 minutes to read
• • 

After training is completed, trained networks are deployed for inference. Azure Databricks recommends loading data into a Spark DataFrame, applying the deep learning model in pandas UDFs, and writing predictions out using Spark. The following articles provide an introduction to doing model inference on Azure Databricks.

• Model Inference Workflow
• Model Inference Examples
  • Model Inference using TensorFlow
  • Model Inference using Keras
  • Model Inference using PyTorch
• Model Inference Performance Tuning Guide
  • Optimize data input pipeline