Caffe is a fully open source deep learning framework which provides access to deep architectures. The code is written in C++ with CUDA used for GPU computation and supports bindings to Python/NumPy and MATLAB. In Caffe, multimedia scientists and practitioners have an orderly and extensible toolkit for state-of-the-art deep learning algorithms. It provides a complete toolkit for training, testing, fine-tuning and deploying models. It offers expressive architecture, modularity, Python and MATLAB bindings. Caffe also provides reference models for visual tasks.
To step through this recipe, you need Ubuntu 14.04 (Linux flavor) installed on the machine. Also, have Apache Hadoop 2.6 and Apache Spark 1.6.0 installed.
