The Microsoft Cognitive Toolkit (https://cntk.ai), is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. CNTK can be included as a library in your Python, C#, or C++ programs, or used as a standalone machine learning tool through its own model description language (BrainScript).
See official CNTK GitHub page (https://github.com/Microsoft/CNTK/).
This CNTK-GPU-Python recipe contains information on how to run Python CNTK learning job on a GPU VM.
This CNTK-GPU-Python-Distributed] recipe contains information on how to run Python CNTK learning job on GPU VMs, including execution across multiple compute nodes and multiple GPUs.
This CNTK-GPU-Python-Distributed] recipe contains information on how to run Python CNTK learning job on GPU VMs, including execution across multiple compute nodes and multiple GPUs connected by Infiniband networks.
This CNTK-GPU-BrainScript recipe contains information on how to run CNTK learning job on a GPU VM with BrainScript configuration file.
This CNTK-GPU-BrainScript-Distributed recipe contains information on how to run Python CNTK learning job on GPU VMs with BrainScript configuration file, including execution across multiple compute nodes and multiple GPUs.
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.