3 Ratings
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Score 7 out of 100
7 Ratings
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Score 8.4 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 Machine Learning

Wherever you have a well qualified, segregated, data set with a clear problem definition any machine learning tool can be deployed. However, the key is to help the client define the problem to create the baseline on the performance and show improvements. It may so happen that we may not need a machine learning tool. This is where the execution of IBM Watson Machine Learning is lacking.
Vinay Pushkarna, B.Eng, MBA | 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 Machine Learning

  • Good machine learning tool
  • Easy integration
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

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 Machine Learning

  • IBM Watson Machine Learning delivery is challenging
  • IBM Watson's deployment business skill gap
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

Support Rating

Caffe Deep Learning Framework

No score
No answers yet
No answers on this topic

IBM Watson Machine Learning

IBM Watson Machine Learning 4.0
Based on 2 answers
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.
Vinay Pushkarna, B.Eng, MBA | 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 Machine Learning

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.
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer

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 Machine Learning

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 Machine Learning

General

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

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