- Keras Model
Explore how to deploy Keras models as serverless functions in cloud environments. Understand managing dependencies, memory settings, caching models, and processing requests to create scalable prediction services.
We'll cover the following...
We'll cover the following...
Since Cloud Functions provide a requirements file that can be used to add additional dependencies to a function, it’s also possible to serve Keras models with this approach.
We’ll be able to reuse most of the code from the past lessons, and we’ll also use the Keras and Flask approach introduced previously in the course.
Updating libraries and memory
Given the size of the Keras libraries and dependencies, we’ll ...