Microsoft has refreshed its ML.Net open source machine learning framework, fitting its beta Version 0.5 with TensorFlow model scoring as a transform to ML.Net. This capability enables use of an existing model from Google’s TensorFlow deep learning and machine learning toolkit in an ML.Net experiment.

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What’s new in ML.Net 0.5

Version 0.5 begins adding support for deep learning, with the TensorFlow Transform class, which can take an existing TensorFlow model and get scores from that model into ML.Net. Users of this TensorFlow scoring capability do not need a working knowledge of TensorFlow internal details. The transform is based on code from the TensorFlowSharp .Net bindings.

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