Skip to content

Latest commit

 

History

History
34 lines (22 loc) · 1.28 KB

File metadata and controls

34 lines (22 loc) · 1.28 KB

9.1 Introduction to Serverless

In the last session, we built and trained a clothes classification deep learning model using Keras and TensorFlow. This session focuses on deploying it. The model categorizes images of clothing items (e.g., 👕 t-shirts, 👖 pants, etc.) uploaded by users on a website. Deployment will be done using AWS Lambda, a serverless solution to execute code without managing servers, and instead of TensorFlow, we will use TensorFlow-lite.

Refer to updates.md for info on running TF lite in 2024.

Notes

Add notes from the video (PRs are welcome)

  • introduction to the topic of the week: deploying a deep learning model to the cloud, aws lambda and tensorflow lite
⚠️ The notes are written by the community.
If you see an error here, please create a PR with a fix.

Navigation