keras 1.0.7-2 source package in Ubuntu
Changelog
keras (1.0.7-2) unstable; urgency=medium
* Team upload, upload to unstable.
[ Stephen Sinclair ]
* Change maintainer to Debian Science, uploader to Stephen Sinclair
(Closes: #852133).
* Change Section to python.
* Add gbp.conf default to using pristine-tar.
* Adhere to Debian Policy to version 4.1.1.
-- Daniel Stender <email address hidden> Wed, 01 Nov 2017 17:30:05 +0100
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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| keras_1.0.7-2.dsc | 1.9 KiB | ea41741733ffc8de5804f75e1dbe7736bbb39f88166f1243a6c50d5395b170ea |
| keras_1.0.7.orig.tar.xz | 172.6 KiB | 0bffb5007662885dba169833791436b8f26cf5d8f20ed08782f183d9c6ab2bcf |
| keras_1.0.7-2.debian.tar.xz | 2.7 KiB | cd724eb586dfe134d0924546813603b4a92e10be578e6769c5ac4ed341a95c44 |
No changes file available.
Binary packages built by this source
- python3-keras: deep learning framework running on Theano or TensorFlow
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, but coming up).
