Ubuntu
tiny-dnn package

tiny-dnn 1.0.0a3+ds-4 source package in Ubuntu

Changelog

tiny-dnn (1.0.0a3+ds-4) unstable; urgency=medium

  * Remove hard-coded CMAKE_CXX_STANDARD (Closes: #1041134)
  * Update Standards-Version to 4.6.2 (no changes).
  * Bump copyright years.

 -- Andrius Merkys <email address hidden>  Thu, 08 Feb 2024 08:41:09 -0500

Upload details

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

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
tiny-dnn_1.0.0a3+ds-4.dsc 2.1 KiB ffd80d70430931d5eee75e5d5f225b332a746df5ca7401caa58cc9a338f481a1
tiny-dnn_1.0.0a3+ds.orig.tar.xz 768.4 KiB 55d8f508fde3785a94986aaa4f3d4c7489cc889dec01c72a5d6b88e08bc10608
tiny-dnn_1.0.0a3+ds-4.debian.tar.xz 4.6 KiB ad6cc611f34a4c9ca7603e4991b04a55d55677f78617d6e622de0bc16e23dbae

Available diffs

No changes file available.

Binary packages built by this source

tiny-dnn: header only deep learning framework in C++

 tiny-dnn is a C++ implementation of deep learning. It is suitable for deep
 learning on limited computational resource, embedded systems and IoT devices.
 .
 Features:
 .
  * Reasonably fast, without GPU;
  * Portable & header-only;
  * Easy to integrate with real applications;
  * Simply implemented.

tiny-dnn-doc: header only deep learning framework in C++ -- documentation

 tiny-dnn is a C++ implementation of deep learning. It is suitable for deep
 learning on limited computational resource, embedded systems and IoT devices.
 .
 Features:
 .
  * Reasonably fast, without GPU;
  * Portable & header-only;
  * Easy to integrate with real applications;
  * Simply implemented.
 .
 This package contains the documentation.