Deploy Models with TensorFlow Serving and Flask

Resource history | v1 (current) | created by coursera-bot on Jun 30, 2020

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see v1 | created by coursera-bot on Jun 30, 2020 | Crawl Coursera

Title: Deploy Models with TensorFlow Serving and Flask
Type: Course
Created: no value
Description: In this 2-hour long project-based course, you will learn how to deploy TensorFlow models using TensorFlow Serving and Docker, and you will create a simple web application with Flask which will serve as an interface to get predictions from the served TensorFlow model. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Python, TensorFlow, Flask, and HTML. Notes: - You will be able to access the cloud desktop 5 times.
Link: https://www.coursera.org/learn/deploy-models-tensorflow-serving-flask
Identifier: no value

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