Hi!
New version of Machine Learning.Net and in this version, we have the ability to use TensorFlow frozen models in ML.Net.
During the process of creating a pipeline, we can now use TensorFlow frozen models models and use them to train a model and make predictions. In a console application, at the time of adding the ML.Net packages we can see a new series of packages to work with TensorFlow
The following code is the best way to understand how a pipeline with a TF model works. While I’m building my Pipeline, I use a couple of trainers to load and modify images; and then on line 40 the TF model is added to the pipeline
At this time the file [Cifar_model/FrozenModel. PB] is not part of the ML.Net repository. If you want to try the code, you can download a trial version from https://github.com/deeplearning4j/dl4j-test-resources/tree/master/src/main/resources/tf_graphs/examples/yolov2_608x608
Happy Coding!
Greetings @ Toronto
El Bruno
References
My Posts
- New version 0.4, news Improvements in Text analysis using Word Embedding
- Error ‘Entry point ‘Trainers.LightGbmClassifier’ not found’ and how to fix it
- Machine Learning Glossary of terms
- Export Machine Learning.Net models to ONNX format
- Loading Data In our Learning Pipeline With List (Lists for ever!)
- What’s new in version 0.2.0
- What’s a Machine Learning model? A 7 minute video as the best possible explanation
- Write and Load models using Machine Learning .Net
- Understanding the step by step of Hello World
- Hello World in ML.Net, Machine Learning for .Net !
