3 Ratings
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Score 7 out of 100
9 Ratings
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Score 9.5 out of 100

Attribute Ratings

  • IBM Watson Machine Learning is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

4.0

Caffe Deep Learning Framework

40%
1 Rating
10.0

IBM Watson Machine Learning

100%
2 Ratings

Support Rating

Caffe Deep Learning Framework

N/A
0 Ratings
4.0

IBM Watson Machine Learning

40%
2 Ratings

Likelihood to Recommend

Open Source

Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.
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IBM

IBM Watson Machine Learning is an AI-based scalable self-learning model for any type of business. It can be used to help any company automate repetitive tasks, predict future trends, and make data-driven decisions. I used it to predict stock prices based on certain variables. It works well, cost me nothing, and gives me the ability to create my own AI-based models that I can use for any purpose.
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Pros

Open Source

  • Caffe is good for traditional image-based CNN as this was its original purpose.
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IBM

  • Good machine learning tool
  • Easy integration
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Cons

Open Source

  • Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
  • Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
  • Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
  • The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.
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IBM

  • Proper usage of REST API documentation is missing.
  • Not localization friendly, cannot support regional or local language documents.
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Pricing Details

Caffe Deep Learning Framework

Starting Price

Editions & Modules

Caffe Deep Learning Framework editions and modules pricing
EditionModules

Footnotes

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    IBM Watson Machine Learning

    Starting Price

    Editions & Modules

    IBM Watson Machine Learning editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Support Rating

      Open Source

      No answers on this topic

      IBM

      IBM had a hard time providing business level support. There were a lot of data scientists and technology experts but rarely a simple business person shows up. Also the way IBM operates IBM Consulting has competing priorities as compared to IBM Technology. This has resulted in a lot of confusion at the client's end.
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      Alternatives Considered

      Open Source

      TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.
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      IBM

      We have been using Microsoft Azure as a machine learning tool. But the challenges remain the same. These are all tools that you need a robust analysis before a decision on the tool. Unfortunately, the technology company cannot make that determination due to lack of core business understanding. Without that the project is doomed.
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      Return on Investment

      Open Source

      • Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.
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      IBM

      • Create secure business environment.
      • Save upto 90% of manual labor.
      • Improve my sales and marketing ROI.
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