Smart Acc.: Web application based on Faster-RCNN architecture making it easier to find accommodations in London.
First published on MSDN on Jun 05, 2018 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.Performance of running NNs across Azure GPU Series Data Science Virtual Machines
First published on MSDN on Nov 22, 2017 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 AzureSo Azure has lots of support for these including prebuilt Azure Batch shipyard container see https://github.Microsoft Machine Learning for Apache Spark
First published on MSDN on Aug 08, 2017 MMLSparkMMLSpark provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.How to implement the backpropagation using Python and NumPy
First published on MSDN on Jul 04, 2017 I was recently speaking to a University Academic and we got into the discussion of practical assessments for Data Science Students, One of the key principles students learn is how to implement the back-propagation neural network training algorithm.Setting up more than 18 GPU Instances on Azure using VMs or Containers
First published on MSDN on Mar 14, 2017 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.
