Скачать или смотреть 52 weeks Live Coding MLOPs: Episode 2: Serving TensorFlow Models

In this episode of 52 weeks of Live Coding MLOps I dive into serving out TensorFlow models to the world.

00:00 Intro
02:00 TensorFlow Serving - What is it?
07:00 TensorFlow Serving colab notebook
08:54 Porting code from Colab to Github
10:00 Build Python Tensorflow model scaffolding
13:23 Using pip freeze to get a list of dependencies
17:00 Attemping a first script for MLOps
20:00 Saving the TensorFlow model
24:00 Installing debian packages for TensorFlow serving
29:00 Trying and failing to invoke the model

If you enjoyed this video, here are additional resources to look at:

Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializati...

Python, Bash, and SQL Essentials for Data Engineering Specialization: https://www.coursera.org/specializati...

AWS Certified Solutions Architect - Professional (SAP-C01) Cert Prep: 1 Design for Organizational Complexity:
https://www.linkedin.com/learning/aws...

O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOp...

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B08...

Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07...

Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B08...

Pragmatic AI Labs Book: Cloud Computing for Data Analysis: https://www.amazon.com/gp/product/B09...

Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B08...

Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B08...

Subscribe to Pragmatic AI Labs YouTube Channel:    / @pragmaticai  

Subscribe to 52 Weeks of AWS Podcast: https://52-weeks-of-cloud.simplecast.com

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