> I mean, _just_ basing your impression off of the name is not going to get you very far.
There are so many neural networks libraries now and I don't find the time to test all of them - dismissing libraries that use .ai in their website's TLD (or in their name) served me very well so far. Sure if it really makes neural networks that much simpler to train, I will take a look, but for now it does not seem to be more high-level than Keras or PyTorch.
It does not matter if you can describe your network in 50, 100 or 200 lines of code as the hard part is to make it learn, choose hyper parameters, change loss functions, etc. - this is possible in all frameworks.
And I don't think AI is used as a synonym for machine learning in the community, but is used to describe AGI.
There are so many neural networks libraries now and I don't find the time to test all of them - dismissing libraries that use .ai in their website's TLD (or in their name) served me very well so far. Sure if it really makes neural networks that much simpler to train, I will take a look, but for now it does not seem to be more high-level than Keras or PyTorch.
It does not matter if you can describe your network in 50, 100 or 200 lines of code as the hard part is to make it learn, choose hyper parameters, change loss functions, etc. - this is possible in all frameworks.
And I don't think AI is used as a synonym for machine learning in the community, but is used to describe AGI.