Udemy - Machine Learning Models With Fastapi, Streamlit And Docker

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Udemy - Machine Learning Models With Fastapi, Streamlit And Docker (Size: 866.8 MB)
  00d3a938-cdc9-4b94-9819-b12bb3505239.jpg?042148 126.4 KB
  1 - Introduction and App Overview.mp4 21.7 MB
  10 - Asynchronous Model Serving with FastAPI.mp4 66.9 MB
  11 - Updating the UI to respond to the async server.mp4 61.7 MB
  12 - Conclusion and Final Remarks.mp4 7.7 MB
  13 - Final Code.html 409.6 B
  2 - FastAPI and Streamlit for Machine Learning Overview.mp4 13.5 MB
  3 - Docker Installation Guide.mp4 25.4 MB
  4 - Final Code.html 409.6 B
  5 - Project Setup.mp4 45.5 MB
  5fa5d40f-740b-4e8f-8dfb-c83af106f62c.jpg?042148 169.8 KB
  5fa5d40f-740b-4e8f-8dfb-c83af106f62c_composition_vii.jpg?042148 212.7 KB
  6 - FastAPI Backend and Image Transformation Functionality.mp4 132.3 MB
  7 - Docker Container Setup.mp4 23.3 MB
  8 - Developing the Streamlit User Interface.mp4 54.7 MB
  9 - Docker Compose Setup.mp4 48.7 MB
  Bonus Resources.txt 409.6 B
  Dockerfile 204.8 B
  Get Bonus Downloads Here.url 204.8 B
  candy.t7 14.8 MB
  composition_vii.t7 27.1 MB
  config.py 307.2 B
  docker-compose.yml 307.2 B
  download_models.sh 512 B
  feathers.t7 17.6 MB
  gabriel-ramos.jpg?042148 2.3 MB
  inference.py 1.1 KB
  la_muse.t7 24.3 MB
  main.py 1.8 KB
  man_jumping.jpg?042148 1.5 MB
  mosaic.t7 17.6 MB
  requirements.txt 0 B
  starry_night.t7 24.3 MB
  the_scream.t7 17.6 MB
  the_wave.t7 24.3 MB
  udnie.t7 10.7 MB
  ▲ 63 total files

Description


Machine Learning Models With Fastapi, Streamlit And Docker
https://DevCourseWeb.com

Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 764.33 MB | Duration: 1h 4m

Learn how to serve a machine learning model with FastAPI, Streamlit and Docker

What you'll learn
Develop an asynchronous API with Python and FastAPI
Serve up a machine learning model with FastAPI
Develop a UI with Streamlit
Containerize FastAPI and Streamlit with Docker
Leverage asyncio to execute code in the background outside the request/response flow

Requirements
Intermediate Python Skills
Intermediate Docker Skills

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