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    It's good for citizen data scientists, but also, other people can use Python or .NET code. The solution is very easy to use, so far as our data scientists are concerned.
  2. It is open-source, and it is being worked on all the time. You don't have to pay all the big bucks like Azure and Databricks. You can just use your local machine with the open-source TensorFlow and create pretty good models.
  3. Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: March 2021.
    473,792 professionals have used our research since 2012.
  4. The initial setup is quite simple.The inferencing and processing capabilities are quite beneficial for our requirements.
  5. It is has a lot of good features and we find the image classification very useful.The most valuable aspect of the solution's the cost and human labor savings.
  6. Caffe has helped our company become up-to-date in the market and has helped us speed up the development process of our projects.
  7. Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful.
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Find out what your peers are saying about Microsoft, TensorFlow, OpenVINO and others in AI Development Platforms. Updated: March 2021.
473,792 professionals have used our research since 2012.