Machine Learning – Building a Pet Detector in 30 minutes using Tensorflow

Ever wondered what breed that dog or cat is? In this show, you’ll see us train, optimize and deploy a deep learning model using Azure Notebooks, Azure Machine Learning Service, and Visual Studio Code using Python. We use transfer learning to retrain a mobilenet model using Tensorflow to recognize dog and cat breeds using the…


Video: Learning Machine Learning with .NET, PyTorch and the ONNX Runtime

ONNX is a open format to represent deep learning models that is supported by various frameworks and tools. This format makes it easier to interoperate between frameworks and to maximize the reach of your hardware optimization investments. In this episode, Seth Juarez sits with Rich to show us how we can use the ONNX runtime…

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Machine Learning Developer: Build, test, deploy, consume Azure Machine Learning Web Services

Machine Learning web services provide an interface between an application and a Machine Learning workflow scoring model. An external application can use Azure Machine Learning to communicate with a Machine Learning workflow scoring model in real time. How easy is that? A call to a Machine Learning web service returns prediction results to an external…