PofoliaShared via Pofolia

arXiv (Cornell University)· 2012· Preprint

Theano: new features and speed improvements

Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, James Bergstra et al.

Short summary

Theano, a linear algebra compiler, has been updated with new features and significant speed enhancements.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Theano is a linear algebra compiler that optimizes symbolic mathematical computations.
  • New features and efficiency improvements have been implemented.
  • Performance benchmarks show Theano is faster than Torch7 and RNNLM.

AI-generated from the title and abstract; the full text is not read.

Abstract

Theano is a linear algebra compiler that optimizes a user's symbolically-specified mathematical computations to produce efficient low-level implementations. In this paper, we present new features and efficiency improvements to Theano, and benchmarks demonstrating Theano's performance relative to Torch7, a recently introduced machine learning library, and to RNNLM, a C++ library targeted at recurrent neural networks.

The authors' abstract, as published at the source. arXiv (Cornell University), 2012 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Hardware and Architecture

Hardware and ArchitectureComputer Science