DevOps for Deep Learning. Enter DeepOps.

Deep Learning in academia and industry brings with it enormous amounts of data, complicated experiment results and intense compute requirements. To break down silos and foster trust in deep learning teams, a highly transparent culture, and shared responsibility is critical. Enter DeepOps, a culture where data engineers and scientists (deep learning) and operations (ops) collaborate to build a faster, more reliable deep learning pipeline.

In this talk, Yuval Greenfield, Deep Learning Developer Relations at MissingLink.ai, will discuss how data scientist:

• Version control code and data.
• Record and analyze metrics.
• Control remote machines and distributed algorithms running
  on-premise and in the public cloud.

Yuval will also talk about best practices and tools in the field.