M

MXNet

Multi-language machine learning library

Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks. It aims to be scalable, allows fast model training, and supports a flexible programming model and multiple programming languages (including C++, Python, Java, Julia, MATLAB, JavaScript, Go, R, Scala, Perl, and Wolfram Language).

Nº Q22348165 ★★★

Rara · Literatura

MXNet

Multi-language machine learning library

Texto en inglés

Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks. It aims to be scalable, allows fast model training, and supports a flexible programming model and multiple programming languages (including C++, Python, Java, Julia, MATLAB, JavaScript, Go, R, Scala, Perl, and Wolfram Language).

Último precio

—

Precio mínimo

—

Mediana 7 d

—

Ventas 30 d

0

Rango 30 d

—

En circulación

0

Cotización

Ver tabla
Fechamediana MínMáxventas

Historial de ventas

Última venta
—
Media 30 d
—
Mínimo 30 d
—
Máximo 30 d
—
Ventas 7 d
0
Ventas 30 d
0

Aún no hay ventas.

Ventas anónimas: sin comprador ni vendedor. Las cifras solo cuentan ventas entre jugadores.

№ Ediciones numeradas · 0 acuñadas Próximo n.º 1 · Puntos ×3
En Wikipedia

Texto en inglés Aún no hay artículo en tu idioma: extracto en inglés.

Apache MXNet is an open-source deep learning software framework that trains and deploys deep neural networks. It aims to be scalable, allows fast model training, and supports a flexible programming model and multiple programming languages (including C++, Python, Java, Julia, MATLAB, JavaScript, Go, R, Scala, Perl, and Wolfram Language). The MXNet library is portable and can scale to multiple GPUs and machines. It was co-developed by Carlos Guestrin at the University of Washington, along with GraphLab. As of September 2023, it is no longer actively developed. Apache MXNet was effectively abandoned due to a combination of factors including lack of significant contributions, outdated builds, and a shift in focus by its major backer, Amazon, towards other frameworks like PyTorch. The project saw no new releases for over a year, and there were very few pull requests or updates from contributors, leading to its move to the Apache Attic in 2023. Additionally, the community began migrating to other frameworks that offered more robust support and development activity.

Texto: Wikipedia en inglés, CC BY-SA 4.0. ·

Cartas cercanas

Ver la ficha

Confirmación