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Differentiable programming is a programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation. This allows for gradient-based optimization of parameters in the program, often via gradient descent, as well as other learning approaches that are based on higher order derivative information. Differentiable programming has found use in a wide variety of areas, particularly scientific computing and artificial intelligence. One of the early proposals to adopt such a framework in a systematic fashion to improve upon learning algorithms was made by the Advanced Concepts Team at the European Space Agency in early 2016.

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  • برمجة تفاضلية في برمجة الحاسوب هي طريقة للاشتقاق أي إيجاد المشتق من تابع رياضي في البرنامج الحاسوبي. ومن أشهر هذه الطرق الاشتقاق الآلي. وتستعمل برمجة الاشتقاق في التعلم الآلي ومعالجة الصور وغيرهما. (ar)
  • Differentiable programming is a programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation. This allows for gradient-based optimization of parameters in the program, often via gradient descent, as well as other learning approaches that are based on higher order derivative information. Differentiable programming has found use in a wide variety of areas, particularly scientific computing and artificial intelligence. One of the early proposals to adopt such a framework in a systematic fashion to improve upon learning algorithms was made by the Advanced Concepts Team at the European Space Agency in early 2016. (en)
  • 可微分编程是一种编程范型,在其中数值计算程序始终可通过自动微分来求导数。这允许了对程序中的参数的,通常通过梯度下降。可微分编程广泛用于各种领域,特别是科学计算和人工智能。 (zh)
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  • برمجة تفاضلية في برمجة الحاسوب هي طريقة للاشتقاق أي إيجاد المشتق من تابع رياضي في البرنامج الحاسوبي. ومن أشهر هذه الطرق الاشتقاق الآلي. وتستعمل برمجة الاشتقاق في التعلم الآلي ومعالجة الصور وغيرهما. (ar)
  • Differentiable programming is a programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation. This allows for gradient-based optimization of parameters in the program, often via gradient descent, as well as other learning approaches that are based on higher order derivative information. Differentiable programming has found use in a wide variety of areas, particularly scientific computing and artificial intelligence. One of the early proposals to adopt such a framework in a systematic fashion to improve upon learning algorithms was made by the Advanced Concepts Team at the European Space Agency in early 2016. (en)
  • 可微分编程是一种编程范型,在其中数值计算程序始终可通过自动微分来求导数。这允许了对程序中的参数的,通常通过梯度下降。可微分编程广泛用于各种领域,特别是科学计算和人工智能。 (zh)
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  • برمجة تفاضلية (ar)
  • Differentiable programming (en)
  • 可微分编程 (zh)
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