Looks like that job is now done.


Begin forwarded message:

From: "Foster, Ian T. via DL-interest" 
<dl-inter...@lists.cels.anl.gov<mailto:dl-inter...@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-inter...@lists.cels.anl.gov<mailto:dl-inter...@lists.cels.anl.gov>" 
<dl-inter...@lists.cels.anl.gov<mailto:dl-inter...@lists.cels.anl.gov>>
Reply-To: "Foster, Ian T." <fos...@anl.gov<mailto:fos...@anl.gov>>

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

https://arxiv.org/pdf/1902.06714


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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