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Same tflite classification model gives different output in python than in Kotlin
I have a Keras sequential neural network classification model that I converted to a tflite model so I could run inference in an Android app which I am developing in Kotlin. It takes in 39 features that are float and is supposed to return 0/1 for 22 classes. This is a human activity recognition model that uses accelerometer x, y, z data that has been converted to features. When I run the tflite model in Python, I get different results than when I run it in Kotlin when using the same exact...