I had to downgrade from TensorFlow 2.18.0 to 2.12.0 recently so that I can turn my model into a CoreML model. And coremltools only supports TensorFlow 2.12.0.
After doing that, training my model is taking roughly 3-4x longer than it did on 2.18.0.
It could be to do with Keras 3 becoming the new default after 2.16.0. They also deprecated tensorflow-macos in favor of a unified installation method so it’s possible internal changes made in the consolidated package account for the recent improvements.
Got it. Thanks for the reply! So is Keras just a dependency used in TensorFlow?
Yep, it essentially just provides a bunch of useful building blocks for networks and some time-saving tools so you don’t have to create them yourself using TensorFlow primitives.
