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Discuss how to deal with the problem that any trained model should be converted into Barracuda format.
In addition this open potential future works where new images are developed (scikit-learn & Pytorch), as long as the training algorithm can save their model into TensorFlow or ONNX format, which they can be converted into Barracuda one.
The text was updated successfully, but these errors were encountered:
It might be possible that in this manner the TensorFlow version constraint does not matter anymore.
In fact, while TensorFlow 1.7.1 is needed for running ml-agents trainers, if a custom model is built and then converted into the proper Barracuda format, then it does not influence TensorFlow version.
Discuss how to deal with the problem that any trained model should be converted into Barracuda format.
In addition this open potential future works where new images are developed (scikit-learn & Pytorch), as long as the training algorithm can save their model into TensorFlow or ONNX format, which they can be converted into Barracuda one.
The text was updated successfully, but these errors were encountered: