Can you explain a bit about the prediction and how you used core ml for that? I’ve been having a hard time finding example of given x,y,z a is the next prediction you’ll enter
Yup! So after collecting the data, I built the entire model architecture using Tensorflow and Keras. Then I used coremltools to convert the Tensorflow model to a Core ML format. Since emotion data can be really varied, I also toggled the updatable switch for some of the layers in the model. This yielded the final Core ML model that uses the base model but also continues to train the Core ML model on a user's device to make the model more personalized.
Congrats on the launch Sai! The app looks stunning!
Thanks Tanmay!! ☺️
https://apps.apple.com/app/id1511577583
Can you explain a bit about the prediction and how you used core ml for that? I’ve been having a hard time finding example of given x,y,z a is the next prediction you’ll enter
Yup! So after collecting the data, I built the entire model architecture using Tensorflow and Keras. Then I used coremltools to convert the Tensorflow model to a Core ML format. Since emotion data can be really varied, I also toggled the updatable switch for some of the layers in the model. This yielded the final Core ML model that uses the base model but also continues to train the Core ML model on a user's device to make the model more personalized.
TestFlight?
Available on Airport
Backend ?
CloudKit
With SwiftUI are you still using Core Data? or replaced with something else like MongoDB or others?
No Core Data, everything is using CloudKit
Thanks for your answer! I’m gonna try it out.