Aug. 17, 2023, 10:50 p.m. | Marius Muntean

DEV Community dev.to

Let’s have a look at how to use a pre-trained TensorFlow model with ML.NET to make landmark predictions.





Get the Model


First we’re going to go ahead and pick a pre-trained model. There are multiple good sources for pre-trained models like Hugging Face and tfhub. We’re going to use a model from tfhub that predicts north American landmarks from images — https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_north_america_V1/1





Transform and Optimize the Model


Theoretically we could start using the model as it is, but we …

aspnetcore easy linux look macos mlnet .net onnx platforms predictions tensorflow

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India