[keras] 05/15: Remove python3-keras-examples package, add examples to keras-doc.

[Stephen Sinclair]

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sinclairs-guest pushed a commit to branch master
in repository keras.

commit 63edb11dad503435004f27fdb2e314d61992b429
Author: Stephen Sinclair <radarsat1 at gmail.com>
Date:   Thu Nov 16 23:29:12 2017 -0300

    Remove python3-keras-examples package, add examples to keras-doc.
---
 debian/changelog                                   |  1 -
 debian/control                                     | 27 ----------------------
 ...-keras-examples.examples => keras-doc.examples} |  0
 3 files changed, 28 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index d77fa02..a11304a 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -1,7 +1,6 @@
 keras (2.0.9-1) UNRELEASED; urgency=medium
 
   * Extend upstream copyright to 2017.
-  * Add new package python3-keras-examples
   * Add new package keras-doc:
     + Include docs built by mkdocs.
     + Patch to add missing images pulled from Keras website
diff --git a/debian/control b/debian/control
index 859c471..d0007ae 100644
--- a/debian/control
+++ b/debian/control
@@ -78,30 +78,3 @@ Description: CPU/GPU math expression compiler for Python (docs)
  TensorFlow (not yet available in Debian, but coming up).
  .
  This package contains the documentation for Keras.
-
-Package: python3-keras-examples
-Architecture: all
-Section: python
-Depends:
- ${misc:Depends},
- ${python3:Depends},
- python3-keras (>= ${binary:Version})
-Description: CPU/GPU math expression compiler for Python (examples)
- 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).
- .
- This package contains the examples for Keras.
diff --git a/debian/python3-keras-examples.examples b/debian/keras-doc.examples
similarity index 100%
rename from debian/python3-keras-examples.examples
rename to debian/keras-doc.examples

-- 
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