Skip to main content

New updates to Azure Machine Learning in preview

Published date: 24 September, 2018

The following new capabilities for Azure Machine Learning are now available in preview:

Azure Machine Learning service Python SDK – Integrate with your favourite Python development environment, including Visual Studio Code, Visual Studio, PyCharm, Azure Databricks notebooks or Jupyter notebooks.

Automated machine learning and hyper-parameter tuning – Identify the best algorithms faster with automated machine learning, and find the best model efficiently with intelligent hyper-parameter tuning.

Distributed deep learning – Build better models faster with massive, managed GPU clusters. Train models quickly with distributed deep learning.

Model management – Manage your Dockerized models using models and images registry, and integrate into your continuous integration (CI/CD) pipeline.

Hardware accelerated inferencing – Access powerful FPGAs for high-speed image classification and recognition scenarios. Supported models include: ResNet 50; ResNet 152; VGG-16; SSD-VGG; and DenseNet-121, which can be trained using your data.

Learn more about the Azure Machine Learning service.


See the pricing page.


  • Services