[petsc-dev] Fwd: [DL-interest] The missing piece in deep learning?

Smith, Barry F. bsmith at mcs.anl.gov
Thu May 16 13:16:02 CDT 2019

 Looks like that job is now done.

Begin forwarded message:

From: "Foster, Ian T. via DL-interest" <dl-interest at lists.cels.anl.gov<mailto:dl-interest at lists.cels.anl.gov>>
Subject: [DL-interest] The missing piece in deep learning?
Date: May 16, 2019 at 11:52:29 AM CDT
To: "DL-interest at lists.cels.anl.gov<mailto:DL-interest at lists.cels.anl.gov>" <DL-interest at lists.cels.anl.gov<mailto:DL-interest at lists.cels.anl.gov>>
Reply-To: "Foster, Ian T." <foster at anl.gov<mailto:foster at anl.gov>>

Have you ever lamented the lack of good DNN tools in Fortran? If so, you need lament no longer.


A parallel Fortran framework for neural networks and deep learning

This paper describes neural-fortran, a parallel Fortran frame- work for neural networks and deep learning. It features a simple interface to construct feed-forward neural networks of arbitrary structure and size, several activation functions, and stochastic gradient descent as the default optimization algorithm. neural-fortran also leverages the Fortran 2018 standard collective subroutines to achieve data-based paral- lelism on shared- or distributed-memory machines.

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DL-interest at lists.cels.anl.gov<mailto:DL-interest at lists.cels.anl.gov>

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