Smart Acc.: Web application based on Faster-RCNN architecture making it easier to find accommodations in London.

Guest post by Imperial College London, Microsoft Industry Exchange Project Group using Faster RCNN The project was developed by Nattapat Chaimanowong, Suampa Ketpreechasawat, Tomasz Bartkowiak, Lin Li, Yini Fang and Danlin Peng, a group of MSc.CS students from Imperial College London. The visual impression is undoubtedly the most important factor influencing people’s decision concerning the…

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Understanding your GPU Performance on Azure with GPU Monitor

So I get lots of questions from Academics. Many are now around performance and optimisation of cloud services. Or simply understanding what students are doing with the resources. Many are specifically around the measurement and management of Azure GPS being used in the teaching of DNN, ML and AIhttps://docs.microsoft.com/en-us/azure/virtual-machines/windows/sizes-gpuThe most common is ‘what’s the best…

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Running YOLO v2 on the Microsoft Data Science Virtual Machine

This week I attended the Industry Partner workshop at the Future of Infrastructure and Built Environment at the University of Cambridge. During the day I had a number of conversations with construction industry professionals and one of  the topics we got into talking about how technology from HoloLens, to Data Science is revolutionising the construction…

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How to train, large scale, state of the art, neural networks on the Microsoft Data Science VM

Dr Adrian Rosebrock – Computer vision expert @ www.pyimagesearch.com , author of a popular Kickstarter deep learning for computer vision book Adrian has posted a great series of guest blogs on how he trains large scale state of the art neural networks on the Microsoft Data Science VM and shares the results of the experiments…

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ESRI GEO AI Data Science Virtual Machine

I was recently at University meeting  where we  got into the discussion of using Cloud Computing for Digital humanities. Digital Humanities is an area of scholarly activity at the intersection of computing or digital technologies and the disciplines of the humanities. It includes the systematic use of digital resources in the humanities, as well as…

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Learn the fundamentals of Microsoft’s Machine Learning and Artificial Intelligence services

Complete learning paths: 15h 10m + practice labs, see https://azure.microsoft.com/en-us/training/ Learn the fundamentals of Microsoft’s Machine Learning and Artificial Intelligence services and how to build applications using them. Develop practical job skills that you can start using straight away. Free registration. Courses provided free in partnership with Pluralsight. Beginner Developing AI applications on Microsoft Azure –…

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Using Microsoft Azure Data Science Virtual Machines in your teaching and Research Labs

Running Data Science VM on Azure for your data science and deep learning lab resources Create the lab infrastructure as follows Use a shared pool of Ubuntu Data Science VMs (with GPUs if doing deep learning) with each student getting a separate account. Recommendation is  allocate about 5 students per VM for our deep learning…

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Azure Deep Learning and ND, NC series with NVidia

ND and NCv2 Series VMs generally available ND-Series virtual machines (VMs) are specifically designed for the needs of artificial intelligence (AI) and Deep Learning workloads, offering excellent performance for training and inference: ✓ They are powered by NVIDIA Tesla P40 GPUs based on the new Pascal Architecture and provide excellent performance for FP32 (single precision…

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Performance of running NNs across Azure GPU Series Data Science Virtual Machines

One of the question I regularly get, from Student and academics is, Which NN runs the best on Azure? Caffe2MXNetGluonCNTKPyTorchTensorflowKeras(CNTK)ChainerKeras(TF)Lasagne(Theano)Keras(Theano) NNs on Azure So Azure has lots of support for these including prebuilt Azure Batch shipyard container see https://github.com/Azure/batch-shipyard/tree/master/recipes  So one of our colleagues Ilia Karmanov has developed a set of jupyter notebooks for the…

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Microsoft’s Batch AI Service – Train & test machine learning models, on pools of GPU machines.

Microsoft Batch AI Microsoft’s Batch AI Service is a new service that helps you train and test machine learning models, including deep learning models, on pools of GPU machines. It simplifies the process of creating a cluster of machines and training on it using many popular deep learning frameworks like TensorFlow, Microsoft Cognitive Toolkit, and…

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