DaTaobao Tech
Aug 9, 2022 · Artificial Intelligence
Differentiable Programming: Theory, Function Fitting, and Practical Implementations
Differentiable programming augments traditional code with automatic differentiation, enabling gradient‑descent optimization of scientific and UI functions; the article surveys its theory, demonstrates fitting a damping curve via logistic and polynomial models in Julia, Swift, and TensorFlow, and discusses trade‑offs between analytical interpretability and neural‑network flexibility.
Automatic DifferentiationJavaScriptTensorFlow
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