From TensorFlow / TFLite
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.[4][5]
TensorFlow was developed by the Google Brain team for internal Google use in research and production.[6][7][8] The initial version was released under the Apache License 2.0 in 2015.[1][9]Google released the updated version of TensorFlow, named TensorFlow 2.0, in September 2019.[10]
TensorFlow can be used in a wide variety of programming languages, including Python, JavaScript, C++, and Java.[11] This flexibility lends itself to a range of applications in many different sectors.
Model deployment from Tensorflow (or the subeset of tensorflow optimized for edge devices called tflite) is simple to achieve by exporting your Tensorflow model to ONNX and subsequently using (if neccesary) the
sclblonnx package to clean and check the resulting graph for an upload to the Scailable platform. After obtaining a clean ONNX graph that adheres to our requirements, you can upload it to the Scailable platform for deployment.
Last modified 6mo ago