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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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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NVidia P100 and V100 coming to Azure

Corey Sanders announced this week for Super Computing Conference that Microsoft are launching a new VM size on Azure, the NCv3. This new size will offer the new NVIDIA Tesla V100 GPU. You can sign up for the preview today. NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate…

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Microsoft Deep Learning Virtual Machine

The DLVM is a specially configured variant of the Data Science VM DSVM that is custom made to help users jump start deep learning on Azure GPU VMs. The DLVM uses the same underlying VM images of the DSVM and hence comes with the same set of data science tools and deep learning frameworks as…

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Neural networks and deep learning with Microsoft Azure GPU

Guest blog by Yannis Assael from Oxford University  The rise of neural networks and deep learning is correlated with increased computational power introduced by general purpose GPUs. The reason is that the optimisation problems being solved to train a complex statistical model, are demanding and the computational resources available are crucial to the final solution….

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Setting up more than 18 GPU Instances on Azure using VMs or Containers

I have been getting a number of questions around the availability of Azure N Series GPU at present we have two SKUs NC (GPU Compute}_ and NV (GPU Visualisation)  This blog explains the differences between the SKUs and where NC vs NV hardware instances should be used https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/01/10/azure-cloud-gpu-for-datascience-and-academic-activities-such-as-cloud-rendering/ DataCenter & OS Availability For NV machines…

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Hijacking faces with Deep Learning techniques and Microsoft Azure

Guest Post by Team FaceJack Catalina Cangea, Laurynas Karazija, Edgar Liberis, Petar Veličković Team FaceJack working hard at Hack Cambridge ’17. Hijacking Faces Machine learning with deep neural networks (commonly dubbed “deep learning”) has taken the world by storm, smashing record after record in a wide variety of difficult tasks from different fields, including computer…

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Deep Learning with Microsoft Cognitive Toolkit CNTK

Extracting value from large amounts of data {and making human sense of it is one of the primary challenge of data science   Introduction to Data Science 1.Find the data 2.Extract and acquire the data 3.Clean and transform the data 4.Understand the relationships in the data and build a model 5.Mine for additional data 6.Evaluate…

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