Glad to hear. I've found it's a very welcoming community.
I'll warn you that Julia's ML ecosystem has the most competitive advantage on "weird" types of ML, involving lots of custom gradients and kernels, integration with other pieces of a simulation or diffeq, etc.
if you just want to throw some tensors around and train a MLP, you'll certainly end up finding more rough edges than you might in PyTorch
I'll warn you that Julia's ML ecosystem has the most competitive advantage on "weird" types of ML, involving lots of custom gradients and kernels, integration with other pieces of a simulation or diffeq, etc.
if you just want to throw some tensors around and train a MLP, you'll certainly end up finding more rough edges than you might in PyTorch