Caffe vs IBM Watson Machine Learning comparison

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Caffe Logo
270 views|196 comparisons
100% willing to recommend
IBM Logo
1,818 views|1,261 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Caffe and IBM Watson Machine Learning based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Caffe has helped our company become up-to-date in the market and has helped us speed up the development process of our projects."

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"It has improved self-service and customer satisfaction.""It is has a lot of good features and we find the image classification very useful.""The solution is very valuable to our organization due to the fact that we can work on it as a workflow.""I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.""Scalability-wise, I rate the solution ten out of ten.""The most valuable aspect of the solution's the cost and human labor savings."

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Cons
"The concept of Caffe is a little bit complex because it was developed and based in C++. They need to make it easier for a new developer, data scientist, or a new machine or deep learning engineer to understand it."

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"In future releases, I would like to see a more flexible environment.""They should add more GPU processing power to improve performance, especially when dealing with large amounts of data.""The supporting language is limited.""Scaling is limited in some use cases. They need to make it easier to expand in all aspects.""If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use.""Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."

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Pricing and Cost Advice
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  • "The pricing model is good."
  • "I've only been using the free tier, but it's quite competitive on a service basis."
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    Top Answer:I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.
    Top Answer:I've only been using the free tier, but it's quite competitive on a service basis. Heavy data usage and management can drive up the costs, but that's true for most platforms. Ultimately, pricing… more »
    Top Answer:In future releases, I would like to see a more flexible environment. It's a good product for customization and developing products. But when we need the most control over the delivery, Watson isn't… more »
    Ranking
    17th
    Views
    270
    Comparisons
    196
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    9th
    Views
    1,818
    Comparisons
    1,261
    Reviews
    3
    Average Words per Review
    526
    Rating
    8.7
    Comparisons
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    IBM
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    Overview

    Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.

    IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.

    Top Industries
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    VISITORS READING REVIEWS
    Educational Organization20%
    Computer Software Company13%
    University12%
    Financial Services Firm10%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise24%
    Large Enterprise58%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Caffe is ranked 17th in AI Development Platforms while IBM Watson Machine Learning is ranked 9th in AI Development Platforms with 6 reviews. Caffe is rated 7.0, while IBM Watson Machine Learning is rated 8.0. The top reviewer of Caffe writes "Speeds up the development process but needs to evolve more to stay relevant". On the other hand, the top reviewer of IBM Watson Machine Learning writes "A highly efficient solution that delivers the desired results to its users". Caffe is most compared with PyTorch, whereas IBM Watson Machine Learning is most compared with Google Cloud AI Platform, Azure OpenAI and TensorFlow.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.