Operationalize TensorFlow Models With ML.NET

• tensorflow-onnx

  7 2,239 6.7 Jupyter Notebook

  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

  

The easiest way to transform the downloaded TensorFlow model to an ONNX model is to use the tool tf2onnx from https://github.com/onnx/tensorflow-onnx

• onnx

  40 17,034 9.4 Python

  Open standard for machine learning interoperability

  

ONNX is a format for representing machine learning models in a portable way. Additionally, ONNX models can be easily optimized and thus become smaller and faster.

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• optimizer

  2 607 6.1 C++

  Actively maintained ONNX Optimizer (by onnx)

  

If you happen to start with an ONNX model that you still want to optimize, then you can use the official ONNX optimizer tool https://github.com/onnx/optimizer.

• netron

  37 26,489 9.9 JavaScript

  Visualizer for neural network, deep learning and machine learning models

We need to find out the exact input and output tensor names. A tool like Netron makes this super easy. Open the original .tflite and/or the ONNX model in Netron and click the Model Properties button in the lower left corner.

• Operationalize.ML.NET

  1 1 5.8 C#

You can find the whole source code at https://github.com/mariusmuntean/Operationalize.ML.NET

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