We performed a comparison between Caffe and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms."Caffe has helped our company become up-to-date in the market and has helped us speed up the development process of our projects."
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout."
"The solution facilitates our production."
"It's easy to deploy."
"The most valuable feature is data normalization."
"The solution is very fast and simple for a data science solution."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"The solution's most beneficial feature is its integration with Azure."
"The concept of Caffe is a little bit complex because it was developed and based in C++. They need to make it easier for a new developer, data scientist, or a new machine or deep learning engineer to understand it."
"Overall, the icons in the solution could be improved to provide better guidance to users. Additionally, the setup process for the solution could be made easier."
"Technical support could improve their turnaround time."
"The solution cannot connect to private block storage."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2."
"In terms of data capabilities, if we compare it to Google Cloud's BigQuery, we find a difference. When fetching data from web traffic, Google can do a lot of processing with small queries or functions."
"The data cleaning functionality is something that could be better and needs to be improved."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
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Caffe is ranked 17th in AI Development Platforms while Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 50 reviews. Caffe is rated 7.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Caffe writes "Speeds up the development process but needs to evolve more to stay relevant". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Caffe is most compared with PyTorch, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and Google Cloud AI Platform.
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