Can we implement Python SVM ML concepts in Tensorflow to convert them that can be used as TinyML in micro controllers like Arduino

I have an ML algo trained in SVM to study and predict a brain signal I just want to check if I can use Tensor Flow Lite to make my Python code into to such a format that can be read by embedded systems as a TinyML background.

Hi @Yogeswar_Reddy ,

Although tensorflow doesn’t have a native SVM library, but you can create a model which approximates the SVM function and then you can convert it to a tflite model to run it using the tinyML runtime.

Thank You .