arXiv Open Access 2020

SymJAX: symbolic CPU/GPU/TPU programming

Randall Balestriero

Lihat Sumber

Abstrak

SymJAX is a symbolic programming version of JAX simplifying graph input/output/updates and providing additional functionalities for general machine learning and deep learning applications. From an user perspective SymJAX provides a la Theano experience with fast graph optimization/compilation and broad hardware support, along with Lasagne-like deep learning functionalities.

Topik & Kata Kunci

cs.MS cs.CV

Penulis (1)

Randall Balestriero

Format Sitasi

APA MLA BibTeX

Balestriero, R. (2020). SymJAX: symbolic CPU/GPU/TPU programming. https://arxiv.org/abs/2005.10635

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓