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Learn Docker Quickly - Machine Learning Project for Beginners

Python Simplified via YouTube

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Overview

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This beginner tutorial explains Docker containers, images, and Dockerfiles through a hands-on project that packages a small caption-translation program in a custom image and publishes it to Docker Hub.

Syllabus

00:00 - | Intro
00:40 - | What is Docker? What are containers?
02:21 - | Install Docker
03:06 - | What are Docker Images?
04:14 - | Search and Pull Images
05:20 - | Run Container
06:08 - | Expose Container Port
07:18 - | Load MNIST Dataset with Tensorflow
08:10 - | Plot MNIST sample
09:47 - | Run Containers with Docker Compose
11:11 - | Replace Jupyter Token with Password
12:02 - | Mount Drive
13:07 - | Build Images with Docker Compose
13:32 - | Dockerfile
15:29 - | Translate Text with Transformers
17:06 - | copy files from system to image
20:52 - | create public repository on DockerHub
21:14 - | push local image to remote repository
23:04 - | clean up containers and images
25:11 - | thank you for watching!

Taught by

Python Simplified

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