Caffe Deep Learning Framework vs. Oracle Machine Learning

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Caffe Deep Learning Framework
Score 7.0 out of 10
N/A
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.N/A
Oracle Machine Learning
Score 8.0 out of 10
N/A
Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.N/A
Pricing
Caffe Deep Learning FrameworkOracle Machine Learning
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Caffe Deep Learning FrameworkOracle Machine Learning
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Caffe Deep Learning FrameworkOracle Machine Learning
Top Pros
Top Cons
Best Alternatives
Caffe Deep Learning FrameworkOracle Machine Learning
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.1 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Caffe Deep Learning FrameworkOracle Machine Learning
Likelihood to Recommend
4.0
(1 ratings)
8.0
(10 ratings)
User Testimonials
Caffe Deep Learning FrameworkOracle Machine Learning
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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Oracle
OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.
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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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Oracle
  • Analyzing heaps of data dumped into the machine learning tool.
  • Giving the researcher an insight on which direction to proceed in order to get the desired results.
  • Can help perform a functional analysis before doing a deep dive.
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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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Oracle
  • As mentioned by others the formatting of reports constantly has issues
  • Once your initial contract terms are up be prepared for a significant increase
  • Pricing needs to be inline with what other competitors are offering
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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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Oracle
Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.
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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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Oracle
  • Our ROI has been great since we have been able to get a birdseye view of our business operations.
  • Shows your areas within your company that needs attention and improvements.
  • Oracle has had a positive impact on all of our business objectives since it provides a clear view of your business operations.
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