The evolution of TensorFlow and of machine learning infrastructure

In this episode of the Data Exchange I speak with Rajat Monga, one of the founding members of the TensorFlow Engineering team. Up until recently Rajat was the engineering manager for TensorFlow at Google. 

Our conversation spanned many topics, including:

• TFX, a production scale machine learning platform based on TensorFlow.
• Distributed training.
• MLIR (Multi-Level Intermediate Representation), “a representation format and library of compiler utilities that sits between the model representation and low-level compilers/executors that generate hardware-specific code.”
• Deep learning in the enterprise.
• The state of machine learning infrastructure.

[full show notes can be found on the Data Exchange web site.]