3 Ratings
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Score 7 out of 100
5 Ratings
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Score 7 out of 100

Likelihood to Recommend

Caffe Deep Learning Framework

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.
Anonymous | TrustRadius Reviewer

IBM Watson Discovery

IBM Watson Discovery is great in terms of retrieving the relevant documents. It's fast in ingesting the documents and in responding to queries. It will work well and it will be cost-efficient when dealing with few large documents. However, the cost grows significantly as the number of documents increases. Which was the case in our solution as we have a lot of very small documents
Anonymous | TrustRadius Reviewer

Pros

Caffe Deep Learning Framework

  • Caffe is good for traditional image-based CNN as this was its original purpose.
Anonymous | TrustRadius Reviewer

IBM Watson Discovery

No answers on this topic

Cons

Caffe Deep Learning Framework

  • 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.
Anonymous | TrustRadius Reviewer

IBM Watson Discovery

  • [I feel the] pricing model needs to be changed to consider small documents.
  • Allow multiple document submit through the API.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Caffe Deep Learning Framework

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.
Anonymous | TrustRadius Reviewer

IBM Watson Discovery

No answers on this topic

Return on Investment

Caffe Deep Learning Framework

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

IBM Watson Discovery

No answers on this topic

Pricing Details

Caffe Deep Learning Framework

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

IBM Watson Discovery

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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