How to Deploy ML Models in Production with BentoML

How to Deploy ML Models in Production with BentoML

Valerio Velardo - The Sound of AI via YouTube Direct link

Saving Keras model to BentoML local store

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5 of 13

Saving Keras model to BentoML local store

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How to Deploy ML Models in Production with BentoML

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  1. 1 Intro
  2. 2 BentoML deployment steps
  3. 3 Installing BentoML and other requirements
  4. 4 Training a simple ConvNet model on MNIST
  5. 5 Saving Keras model to BentoML local store
  6. 6 Creating BentoML service
  7. 7 Sending requests to BentoML service
  8. 8 Creating a bento
  9. 9 Serving a model through a bento
  10. 10 Dockerise a bento
  11. 11 Run BentoML service via Docker
  12. 12 Deployment options: Kubernetes + Cloud
  13. 13 Outro

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