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
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Noble | release | universe | misc | |
Mantic | release | universe | misc | |
Lunar | release | universe | misc | |
Jammy | release | universe | misc |
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
- diff from 1.0.6-1 to 1.0.8+ds-1 (17.1 KiB)
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.