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How serves Deep Learning model predictions


With so many machine learning frameworks and libraries available, writing a model isn’t a bottleneck anymore while putting your models in production is still a challenge.

In this talk, you will learn how we deploy the python deep learning models in production at

Topics will include:

  • Deep Learning model training in Docker containers
  • Automated retraining of models
  • Deployment of models using Kubernetes
  • Serving model predictions in containerized environment
  • Optimising serving predictions for latency and throughput


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