CCI has taken ownership of the public Conan package for this library, which can be found at the following links:

https://github.com/conan-io/conan-center-index/ https://conan.io/center/tiny-dnn

Conan Community will keep this version of the package on Github and Bintray, however it will no longer be maintained or supported. Users are advised to update their projects to use the official Conan package maintained by the library author immediately.

tiny-dnn is a C 14 implementation of deep learning. It is suitable for deep learning on limited computational resource, embedded systems and IoT devices.

The packages generated with this conanfile can be found on Bintray.

If you wish to report an issue or make a request for a package, please do so here:

Issues Tracker

$ conan install tiny-dnn/0.1.1@conan/stable

If you handle multiple dependencies in your project is better to add a conanfile.txt

[requires]
tiny-dnn/0.1.1@conan/stable

[generators]
txt

Complete the installation of requirements for your project running:

$ mkdir build && cd build && conan install ..

Note: It is recommended that you run conan install from a build directory and not the root of the project directory. This is because conan generates conanbuildinfo files specific to a single build configuration which by default comes from an autodetected default profile located in ~/.conan/profiles/default . If you pass different build configuration options to conan install, it will generate different conanbuildinfo files. Thus, they should not be added to the root of the project, nor committed to git.

The following command both runs all the steps of the conan file, and publishes the package to the local system cache. This includes downloading dependencies from "build_requires" and "requires" , and then running the build() method.

$ conan create . conan/stable

Conan Community has its own Bintray repository, however, we are working to distribute all package in the Conan Center:

$ conan remote add conan-center "https://conan.bintray.com"

NOTE: The conan recipe license applies only to the files of this recipe, which can be used to build and package tiny-dnn. It does not in any way apply or is related to the actual software being packaged.

MIT