Bea

Hi, I’m Bea Stollnitz, and I’m a principal developer advocate at Microsoft, focusing on Azure ML.

All code in this blog is made available under the MIT license.

  • Azure ML

    • Creating online managed endpoints in Azure ML

      In this post, you’ll learn how to create endpoints on Azure that enable real-time predictions using your custom model. I assume familiarity with machine learning concepts, such as training and prediction, but no knowledge of Azure.
    • Creating batch endpoints in Azure ML

      In this post, you’ll learn how to create endpoints on Azure that enable asynchronous batch predictions using your custom model. I assume familiarity with machine learning concepts, such as training and prediction, but no knowledge of Azure.
  • Deep learning

    • Introduction to PyTorch

      This post introduces PyTorch concepts through the creation of a basic neural network using the Fashion MNIST dataset as a data source. I assume that you have a basic conceptual understanding of neural networks, and that you’re comfortable with Python, but I assume no knowledge of PyTorch.
    • Introduction to TensorFlow using Keras

      This post provides all the concepts and practical knowledge you need to get started with TensorFlow. We’ll explore Keras, a high-level API released as part of TensorFlow, and we’ll use it to build a basic neural network using the Fashion MNIST dataset as a data source. I assume that you have a basic conceptual understanding of neural networks, and that you’re comfortable with Python, but I assume no knowledge of TensorFlow or Keras.
    • Going beyond Keras - customizing with TensorFlow

      In this blog post, we’ll re-implement parts of the code from my earlier Keras post, but this time we’ll use lower-level TensorFlow concepts. I assume that you completed my tutorial on Keras or that you have a solid knowledge of Keras, but I assume no knowledge of TensorFlow.
    • Comparing PyTorch and TensorFlow implementations

      How do PyTorch code and TensorFlow code compare? Maybe you’re in the beginning phases of your machine learning journey and deciding which framework to embrace, or maybe you’re an experienced ML practicioner considering a change of framework. Either way, you’re in the right place. Drawing from my previous posts, I’ll compare the PyTorch and TensorFlow versions of the code used to classify images in the Fashion MNIST dataset.
  • Announcements

    • Hello World!

      Hello, machine learning world! I plan to use this blog as a space to write about foundational machine learning topics and Azure Machine Learning features, combining skills from my masters in Applied Math and ML with my many years of software development experience.