TensorFlow Serving Treningskurs

Kurskode

tensorflowserving

Varighet

7 timer (vanligvis 1 dag inkuldert pauser)

Krav

  • Experience with TensorFlow
  • Experience with the Linux command line

Audience

  • Developers
  • Data scientists

Oversikt

TensorFlow Serving er et system for servering av maskinlæring (ML) modeller til produksjon.

I denne instruktørledede TensorFlow vil deltakerne lære å konfigurere og bruke TensorFlow Serving til å distribuere og administrere ML-modeller i et produksjonsmiljø.

Ved slutten av denne opplæringen vil deltakerne kunne:

  • Tren, eksporter og server forskjellige TensorFlow modeller
  • Test og distribuer algoritmer ved hjelp av en enkelt arkitektur og sett med APIer
  • Utvid TensorFlow Servering for å tjene andre typer modeller utover TensorFlow modeller

Publikum

  • Utviklere
  • Data forskere

Kursets format

  • Delforelesning, deldiskusjon, øvelser og tung praktisk øvelse

Machine Translated

Kursplan

TensorFlow Serving Overview

  • What is TensorFlow Serving?
  • TensorFlow Serving architecture
  • Serving API and REST client API

Preparing the Development Environment

  • Installing and configuring Docker
  • Installing ModelServer with Docker

TensorFlow Server Quick Start

  • Training and exporting a TensorFlow model
  • Monitoring storage systems
  • Loading exported model
  • Building a TensorFlow ModelServer

Advanced Configuration

  • Writing a config file
  • Reloading Model Server configuration
  • Configuring models
  • Working with monitoring configuration

Testing the Application

  • Testing and running the server

Debugging the Application

  • Handling errors

TensorFlow Serving with Kubernetes

  • Running in Docker containers
  • Deploying serving clusters

Securing the Application

  • Hiding data

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

Related Categories

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