What users are saying about
This review does not include a rating.
17 Ratings
This review does not include a rating.
17 Ratings
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Score 8.9 out of 100

Attribute Ratings

    Likelihood to Recommend

    Cloudera Altus (discontinued)

    N/A
    0 Ratings
    8.2

    Keras

    82%
    6 Ratings

    Usability

    Cloudera Altus (discontinued)

    N/A
    0 Ratings
    7.7

    Keras

    77%
    2 Ratings

    Support Rating

    Cloudera Altus (discontinued)

    N/A
    0 Ratings
    8.2

    Keras

    82%
    2 Ratings

    Likelihood to Recommend

    Cloudera

    No answers on this topic

    Open Source

    Keras is quite perfect, if the aim is to build the standard Deep Learning model, and materialize it to serve the real business use case, while it is not suitable if the purpose is for research and a lot of non-standard try out and customization are required, in that case either directly goes to low level TensorFlow API or Pytorch
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    Pros

    Cloudera

    No answers on this topic

    Open Source

    • One of the reason to use Keras is that it is easy to use. Implementing neural network is very easy in this, with just one line of code we can add one layer in the neural network with all it's configurations.
    • It provides lot of inbuilt thing like cov2d, conv2D, maxPooling layers. So it makes fast development as you don't need to write everything on your own. It comes with lot of data processing libraries in it like one hot encoder which also makes your development easy and fast.
    • It also provides functionality to develop models on mobile device.
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    Cons

    Cloudera

    No answers on this topic

    Open Source

    • As it is a kind of wrapper library it won't allow you to modify everything of its backend
    • Unlike other deep learning libraries, it lacks a pre-defined trained model to use
    • Errors thrown are not always very useful for debugging. Sometimes it is difficult to know the root cause just with the logs
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    Pricing Details

    Cloudera Altus (discontinued)

    Starting Price

    Editions & Modules

    Cloudera Altus (discontinued) editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      Keras

      Starting Price

      Editions & Modules

      Keras editions and modules pricing
      EditionModules

      Footnotes

        Offerings

        Free Trial
        Free/Freemium Version
        Premium Consulting/Integration Services

        Entry-level set up fee?

        No setup fee

        Additional Details

        Usability

        Cloudera

        No answers on this topic

        Open Source

        I am giving this rating depending on my experience so far with Keras, I didn't face any issue far. I would like to recommend it to the new developers.
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        Support Rating

        Cloudera

        No answers on this topic

        Open Source

        Keras have really good support along with the strong community over the internet. So in case you stuck, It won't so hard to get out from it.
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        Alternatives Considered

        Cloudera

        No answers on this topic

        Open Source

        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 Keras as it is easy and powerful as well.
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        Return on Investment

        Cloudera

        No answers on this topic

        Open Source

        • Easy and faster way to develop neural network.
        • It would be much better if it is available in Java.
        • It doesn't allow you to modify the internal things.
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