Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
See official Caffe GitHub page (https://github.com/BVLC/caffe).
This Caffe-GPU recipe contains information on how to run Caffe training job on a GPU node with BatchAI.
If you have any problems or questions, you can reach the Batch AI team at AzureBatchAITrainingPreview@service.microsoft.com or you can create an issue on GitHub.
We also welcome your contributions of additional sample notebooks, scripts, or other examples of working with Batch AI.