Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments

[T01:01] - Brief overview of training a machine learning model
[T02:54] - PyTorch training in Python
[T07:43] - Understanding accuracy and loss
[T10:50] - What is ONNX ?
[T11:53] - Consuming model with ONNX in .NET
[T25:38] - ML .NET and ONNX
[T26:58] - Industry usage

Useful Links

ONNX on GitHub

ONNX NuGet

ONNX Runtime is now open source

PyTorch

Seth’s Pytorch demo on GitHub

[tikke]

Big onnx model deserialization may be expensive, and for stateless REST you do it for every call. What is the "best practise" to avoid that?

[AdamsTaiwan]

Would like to see the training done using Julia and FluxML.