keras-preprocessing 1.1.0+ds-1 source package in Ubuntu

Changelog

keras-preprocessing (1.1.0+ds-1) unstable; urgency=medium

  [ Stephen Sinclair ]
  * New upstream version 1.1.0.
  * debian/watch:
    + add dversionmangle for +ds suffix.
  * debian/control:
    + update standard version to 4.5.0 (no changes).
    + add build-dep on python3-six.

  [ Anton Gladky ]
  * [5945435] Apply cme fix dpkg
  * [4a0786f] Use secure URI in Homepage field.
  * [09a4468] Bump debhelper from old 11 to 12.
  * [4fa23f7] Set upstream metadata fields: Bug-Database, Bug-Submit.

 -- Stephen Sinclair <email address hidden>  Fri, 20 Mar 2020 15:55:44 +0000

Upload details

Uploaded by:
Debian Science Team on 2020-04-14
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Groovy release on 2020-04-30 universe misc

Builds

Groovy: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
keras-preprocessing_1.1.0+ds-1.dsc 2.1 KiB 78f01b4e7f5654a19b7f27f3c1557e257a4ed93aae76cfb7e3b4138ea2c5f2d1
keras-preprocessing_1.1.0+ds.orig.tar.xz 41.0 KiB e9179d6552295217e972281642cb6c7a8af80470868efd3dcc2c023f1e5ffafd
keras-preprocessing_1.1.0+ds-1.debian.tar.xz 3.3 KiB 85d66755368cf283412201a9a3f480d72f155f7fa3d963fdc5d281a03c519c1c

Available diffs

No changes file available.

Binary packages built by this source

python3-keras-preprocessing: data preprocessing module 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 Preprocessing is the data preprocessing and data augmentation
 module of the Keras deep learning library. It provides utilities for
 working with image data, text data, and sequence data.