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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Keras

    Score7 out of 10
    N/AKeras is a Python deep learning libraryN/A
    Pricing
    Keras
    Editions & Modules
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    Keras
    Free Trial
    No
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    Entry-level Setup FeeNo setup fee
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    Community Pulse
    Keras
    Considered Both Products
    Open Source
    Chose Keras
    As Keras is the high level API, so using Keras, we don't have to be bothered by the low level TensorFlow complexity, and we can reduce a lot coding and testing efforts.
    Incentivized
    Chose Keras
    For beginners, I always recommend starting with Keras, because it's really easy to use and learn at first. There is not much pre-requisite for this to start with.
    Incentivized
    Chose Keras
    Keras is much easier to learn as compared to TensorFlow. It also has a lot of built-in functionality that makes it much better than the alternatives.
    Incentivized
    Chose Keras
    Keras is a good point where you can learn lots of things and also have hands-on experience. There is not much comparison of Keras with Tensorlow, as Keras is a wrapper library which supports TensorFlow and Theano as backends for computation. But once you have enough knowledge …
    Incentivized
    Chose Keras
    Keras is good to develop deep learning models. As compared to TensorFlow, it's easy to write code in Keras. You have more power with TensorFlow but also have a high error rate because you have to configure everything by your own. And as compared to MATLAB, I will always prefer …
    Incentivized
    Chose Keras
    TensorFlow and Caffe are bit hard to learn but they give you power to implement everything by you own. But most of the time it is not required to implement our own algorithm, we can solve the problem with just using the already provided algorithms. As compared to TensorFlow and …
    Incentivized
    Key User Insights
    Would buy again
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    Delivers good value for the price
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    Happy with the feature set
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    Lived up to sales and marketing promises
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    Implementation went as expected
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    User Ratings
    Keras
    Likelihood to Recommend
    8.1
    (6 ratings)
    Usability
    7.7
    (2 ratings)
    Support Rating
    8.2
    (2 ratings)