Тёмный

Deploy a deep learning API to the cloud with Docker and Azure 

Dataquest
Подписаться 59 тыс.
Просмотров 5 тыс.
50% 1

We'll deploy a deep learning translation API to the cloud. First we'll, build a dockerfile and an image. Then we'll deploy the image to Azure Container Registry and run the image using Azure Container Instances.
By the end of the video, we'll have a fully working cloud deep learning API that can take in text and translate it.
You can see the full code here - github.com/dataquestio/projec... .
This video builds on an earlier video on building the API server - • Create a Deep Learning... .
Chapters
0:00 - Introduction
3:15 - Creating a Dockerfile
7:30 - Building a docker image
12:30 - Setting up Azure
15:18 - Pushing a docker image to the cloud
18:37 - Running a docker container in the cloud
23:40 - Next steps
---------------------------
Join 1M+ Dataquest learners today!
Master data skills and change your life.
Sign up for free: bit.ly/3O8MDef

Опубликовано:

 

11 июл 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 6   
@sanjaybhatikar
@sanjaybhatikar Год назад
Love it!
@garrettmarsh1102
@garrettmarsh1102 Год назад
Hello! Can't thank you enough for your tutorials. Learning a ton every day with them. Though sadly I am running into an error on my windows machine. When attempting to name my resource via the NAME="resource-name" command, i am met with the term not being recognized. Would you happen to know the powershell equivalent? Thank you!
@garrettmarsh1102
@garrettmarsh1102 Год назад
literally solved as i wrote this lol. its $name="resource-name" for anyone else who may have run into this!
@SandWalk
@SandWalk Год назад
nice video sir , but i have a problem i already deploy my API to cloud following your video but there is no SSL Certificate on API server So i cant use callAPI for my public website , do you have video how to get SSL for API server on video above thank you sir!
@user-wr4yl7tx3w
@user-wr4yl7tx3w Год назад
Can we try Google Cloud since it starts out free
@Dataquestio
@Dataquestio Год назад
You can use this same technique with Google Cloud. The nice thing with Docker is that the containers can be used on any cloud.
Далее
Create a Deep Learning API with Python and FastAPI
34:16
Predict NBA Games With Python And Machine Learning
58:33
Tryolabs | Automated soccer ball possession using AI
0:59
Gradient Descent From Scratch In Python
42:39
Просмотров 17 тыс.
Deploy LLM App as API Using Langserve Langchain
17:49
Docker Tutorial for Beginners [FULL COURSE in 3 Hours]
2:46:15
Deploy ML model in 10 minutes. Explained
12:41
Просмотров 10 тыс.
Classification With Neural Networks
43:19
Просмотров 7 тыс.