Chapter 102
9.1 Introduction to Serverless
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
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- introduction to the topic of the week: deploying a deep learning model to the cloud, aws lambda and tensorflow lite