That's right, Tch stands for torch. We use tch-rs (bindings to torch++). The selling point of burn is that it offers the full level of deep learning framework

That's right, Tch stands for torch. We use tch-rs (bindings to torch++). The selling point of burn is that it offers the full level of deep learning framework with ability to swap backends. This is useful, for example, I can train with Torch backend on GPUs but if I want to deploy, lets say to embedded device, I can use NDArray backend, which supports pure rust code (also with various BLAS acceleration if needed). You can also use NDArray backend with Accelerate (iOS or MacOS blass). You can even compile for WASM because Burn supports inference with no_std (you can try this online demo https://burn-rs.github.io/demo https://burn-rs.github.io/demo). The framework is well written and follows Rust's conventions and best practices. It's still evolving, however. Give it a try. If you find problems, you can file a ticket or join discord chat.