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Demystifying Machine and Deep Learning for Developers
- 6. (regression) (classification) (clustering) (anomaly detection) (recommendation)
- 29. [142, 233, 120,23, 57, 190, 85, 39, 135]
- 30. [ 1, 1,1, 0, 0, 0, 0, 0, 0] [142, 233, 120, 23, 57, 190, 85, 39, 135]
- 31. [5, 138, 19,2, 227, 144, 35, 193, 168]
- 32. [5, 138, 19,2, 227, 144, 35, 193, 168] [ 1, 1, 1, 0, 0, 0, -1, -1, -1]
- 33. [ 1, 1,1, 0, 0, 0, -1, -1, -1] [142, 233, 120, 23, 57, 190, 85, 39, 135]
- 49. updated W currentW learning rate derivative of cost function
- 50. updated W currentW learning rate gradient of cost function
- 53.
- 54. ONNX enables modelsto be trained in one framework and transferred to another for inference. CPUGPU ML HW DSPFPGA High level API & Framework Frontends Hardware Vendor Libraries & Devices Any tools exporting ONNX models can benefit ONNX-compatible runtimes and libraries designed to maximize performance on some of the best hardware in the industry. Seamless Interoperability ONNX.ai
- 56.
- 57. Facial Emotion Prediction https://github.com/Microsoft/FERPlushttps://arxiv.org/abs/1608.01041 Data Sources Model Train with Cloud AI Deploy Consume AC TION INTELLIGENC EDATA Azure Machine Learning WindowsML Model: VGG-13 Code: CNTK Face Emotion Recognition 12 emotion labels 28,709 training images 3,589 test images 3,589 validation images Visual Studio Tools for AI Manage Models Azure Deep Learning GPU VM
- 59. Empowering Physicians with MedicalImaging AI
- 60. Intelligent Disease Prediction DataSources Model Train with Cloud AI Deploy Consume AC TION INTELLIGENC EDATA Azure Machine Learning IoT Hub WindowsML IOT Edge Model: DenseNet-121 Code: Keras + TensorFlow National Institute of Health Chest Xray Data 112,120 images 14 pathology labels 30,805 unique patients Visual Studio Tools for AI Manage Models Azure Deep Learning GPU VM VSTS + CI/CD CosmosDB + Azure Functions NuGet
- 62. AI Services inAzure Bringing the best of AI to Azure and the best of Azure to AI Pre-Built AI Azure Cognitive Services Conversational AI Azure Bot Services Custom AI Azure Machine Learning
- 63. Integrated with AzureMachine Learning Create new deep learning projects easily Scale Out with Azure Batch AI Generate C# code from TensorFlow & ONNX models Convert models to ONNX Monitor model training progress & GPU utilization Visualize your model processing with integrated open tools like TensorBoard Get started quickly with the Samples Gallery VS Tools for AI Productive AI developer tools to train models and infuse AI into your apps
- 64.