Común · Saberes
Differentiable programming
Programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation, allowing for machine learning based on gradient descent etc.
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.
En Wikipedia
Texto en inglés Aún no hay artículo en tu idioma: extracto en inglés.
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 machine learning. 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.
Texto: Wikipedia en inglés, CC BY-SA 4.0. ·
Cartas cercanas
-
N★★
Neural field
A neural field is a type of neural network that models a mathematical field in a continuous and differentiable way
-
★★★
Programación dinámica
Un método para reducir el tiempo de ejecución de un algoritmo mediante la utilización de subproblemas superpuestos y subestructuras óptimas, como se describe a continuación
-
★
Evolución diferencial
-
p★
programación orientada a flujo de datos
Paradigma de programación
-
P★
Programación automática
Paradigma de programación
-
★★★★
Cálculo diferencial
Área de las matemáticas