ocrserver VS Gorgonia

For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output: { "result": "3\n7 2\n2 5\n120\n4\n12092\n42093 1 4\n12094\n7\n224\n2\n5 3\n25", "version": "0.2.0" }

For example, in about 5 minutes I was able to find ocrserver, hosted here. Drop your image into that and whitelist it to just numbers and you get the following output:

GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.

I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.

Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.

But this is the first time I've heard of the name of the framework.

[0]: https://gorgonia.org

Oh it's.Gorgonia

Website: https://gorgonia.org

I use Gorgonia.

What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...

Yep, all of them: https://github.com/gorgonia/gorgonia