4 ms·

I've played around with Accord.NET [0] before and it seems like it's bit more complete as framework. Not that I have done too much ML stuff beyond experimentin

I've played around with Accord.NET [0] before and it seems like it's bit more complete as framework. Not that I have done too much ML stuff beyond experimenting, it seems to be Accord.NET is a lot more abstracted compared to TensorFlow... [0]: http://accord-framework.net/ http://accord-framework.net/

ankitasthana 8y ago
ML.NET is really a framework which provides ability to build custom traditional machine learning algorithms for a number of scenarios like (classification, regression, recommendation etc.). ML.NET is also extensible, which means we can absorb other leading deep learning frameworks like TensorFlow and Accord.NET through one consistent API providing a uniform way to do ML in .NET. Here's a link to the samples: https://github.com/dotnet/machinelearning-samples https://github.com/dotnet/machinelearning-samples
- deleted 8y ago
  [deleted]