Tutorial: Aprendizaje automático con Docker

3.9
estrellas
15 calificaciones
ofrecido por
Coursera Project Network
En este Tutorial guiado, tú:

Get started with Docker and understand how it helps Machine Learning

Build a custom Docker Image & Running a Docker Container

Train machine learning models during the Docker image build process

Serialize your models & Perform batch inference & online inference using Docker containers

Clock3 hours
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

This guided-project introduces you to Machine learning with Docker. The tasks demonstrate how Docker is a useful tool for working with machine learning. By the end of this project, you will be able to implement Docker in your Machine learning workflows. Moreover, this split screen guided project will allow you to: - Learn Docker fundamentals & understand how it can compliment Machine Learning - Train machine learning models during the Docker - Serialize your models within the Image for easy retrieval - Perform batch inference using Docker containers - Understand online inference with a Real World example (Food Delivery App) - Implement a REST API using Docker and Flask RESTful.

Habilidades que desarrollarás

Machine LearningLinuxDevopsDocker (Software)

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Learn to build a custom ML images from the Dockerfile

  2. Train machine learning models during the Docker image building process

  3. Learn to Serialize your Models within the Image for easy retrieval

  4. Perform batch inference using Docker Containers

  5. Implement a REST API using Docker and Flask RESTful and perform Online inference

Cómo funcionan los tutoriales guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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