Your message dated Wed, 07 Nov 2018 20:01:42 +0000
with message-id <e1gku1g-000cyk...@fasolo.debian.org>
and subject line Bug#902391: fixed in keras-applications 1.0.4-1
has caused the Debian Bug report #902391,
regarding ITP: keras-applications -- popular models and pre-trained weights for
the Keras deep learning framework
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
(NB: If you are a system administrator and have no idea what this
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immediately.)
--
902391: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=902391
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist
Owner: Stephen Sinclair <radars...@gmail.com>
* Package name : keras-applications
Version : 1.0.2
Upstream Author : Francois Chollet <francois.chol...@gmail.com>
* URL : http://keras.io/
* License : Expat
Programming Lang: Python
Description : popular models and pre-trained weights for the Keras deep
learning framework
Keras is a Python library for machine learning based on deep (multi-
layered) artificial neural networks (DNN), which follows a minimalistic
and modular design with a focus on fast experimentation.
Features of DNNs like neural layers, cost functions, optimizers,
initialization schemes, activation functions and regularization schemes
are available in Keras a standalone modules which can be plugged together
as wanted to create sequence models or more complex architectures.
Keras supports convolutions neural networks (CNN, used for image
recognition resp. classification) and recurrent neural networks (RNN,
suitable for sequence analysis like in natural language processing).
It runs as an abstraction layer on the top of Theano (math expression
compiler) by default, which makes it possible to accelerate the computations
by using (GP)GPU devices. Alternatively, Keras could run on Google's
TensorFlow (not yet available in Debian).
Keras Applications is the applications module of the Keras deep
learning library. It provides model definitions and pre-trained
weights for a number of popular archictures, such as VGG16, ResNet50,
Xception, MobileNet, and more.
This new package is to be a dependency of an updated keras package,
following upstream's splitting of keras-applications to its own Python
module.
--- End Message ---
--- Begin Message ---
Source: keras-applications
Source-Version: 1.0.4-1
We believe that the bug you reported is fixed in the latest version of
keras-applications, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to 902...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Stephen Sinclair <radars...@gmail.com> (supplier of updated keras-applications
package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Fri, 17 Aug 2018 14:03:05 -0300
Source: keras-applications
Binary: python3-keras-applications
Architecture: source all
Version: 1.0.4-1
Distribution: experimental
Urgency: medium
Maintainer: Debian Science Maintainers
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Stephen Sinclair <radars...@gmail.com>
Description:
python3-keras-applications - popular models and pre-trained weights for the
Keras deep learnin
Closes: 902391
Changes:
keras-applications (1.0.4-1) experimental; urgency=medium
.
* Initial release (Closes: #902391).
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