Caffe deep neural networks

Background

Deep neural networks are powerful supervised learners for large labeled data sets. One implementation of these models is provided by the Caffe open-source C++ library.

Related work

The nnet package implements single layer neural networks. Caffe implements multi-layer (deep) neural networks. Are there any other R packages for deep neural networks? From the Machine learning task view, the answer seems to be no.

Other projects that use the Caffe C++ code are listed on their wiki.

Coding project: library(caffe)

Write an R package that interfaces the Caffe C++ code. It should implement the same functionality as the Python and MATLAB packages discussed on the Caffe Interfaces page.

Mentors

There are currently no mentors for this project. Ideally there should be one mentor who is an expert in R package development and another mentor who is an expert user or developer of the Caffe C++ code.

Tests

Do one or several — doing more hard tests makes you more likely to be selected.

• MENTORS: post tests for students here.

Solutions of tests

Students, please post a link to your test results here.