leaf

> - Neural network programs are usually not large and therefore do not need the type safety that Rust offers TensorFlow Fold [1] uses static type checking at model compilation time, presumably because it is meant to consume structured data, and needs to know what the opaque tensors it passes around are supposed to represent. I don't fully comprehend that type system, and debugging type errors was annoying (huge stacktrace full of passing type info around), but after I managed to imitate it well enough to hack up my own blocks, I didn't investigate further. A language-level type system like Rust's would probably have made things easier for me. EDIT: I just remembered that there's also Leaf [2], which claims to be among the faster neural network libraries (although their comparison is a bit outdated). Evidently there are people seriously pu