Swift for TensorFlow
summary
Swift for TensorFlow embeds first-class differentiable programming into Swift, adds Python interoperability (NumPy, Matplotlib, OpenAI Gym) and runs in Colab with free GPUs. The team builds and debugs real projects—MiniGo is implemented in Swift, unit tests run, LLDB inspects tensor shapes, and the model runs on GPU in Colab. The 0.3 release is available for pioneers; it is experimental, not yet production-ready.
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