keras-applications 1.0.8+ds-1 source package in Ubuntu

Changelog

keras-applications (1.0.8+ds-1) unstable; urgency=medium

  * Team upload.

  [ Stephen Sinclair ]
  * New upstream version 1.0.8.
  * debian/watch:
    + add dversionmangle for +ds suffix.
  * debian/control:
    + update to standards 4.5.0 (no changes).

  [ Anton Gladky ]
  * [6a549cb] Apply cme fix dpkg
  * [d700800] Use secure URI in Homepage field.
  * [209b14e] Bump debhelper from old 11 to 12.
  * [6a4bd59] Set upstream metadata fields: Bug-Database, Bug-Submit.

 -- Anton Gladky <email address hidden>  Tue, 14 Apr 2020 20:20:53 +0200

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Groovy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
keras-applications_1.0.8+ds-1.dsc 2.1 KiB 057c5a2f8f791095d6f120c4ac326f91c568468bf2f1fa4253dd9e282ca43d13
keras-applications_1.0.8+ds.orig.tar.xz 273.5 KiB d83195382226cf82b76f457e373675922ebda686565d68bfa8f269e4e9a8976a
keras-applications_1.0.8+ds-1.debian.tar.xz 3.3 KiB c00984ebd7ef46299178f18dd3fd4efb02f33d9d27072913ef295a16a3116b5a

Available diffs

No changes file available.

Binary packages built by this source

python3-keras-applications: 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 architectures, such as VGG16, ResNet50,
 Xception, MobileNet, and more.