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    ProductRatingMost Used ByProduct SummaryStarting Price

    TensorFlow

    Score8.2 out of 10
    N/ATensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.N/A
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    TensorFlow
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    TensorFlow
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    Community Pulse
    TensorFlow
    Considered Both Products
    Open Source
    Chose TensorFlow
    I prefer Pytorch overall, recent models are often only available with Pytorch
    Pytorch is also easier to use and it is often easier to find support for Pytorch code nowadays than TensorFlow
    Also it seems like lots of Google internal resource uses JAX. I mostly uses TensorFlow to …
    Incentivized
    Chose TensorFlow
    TensorFlow has better support for Java compared to Pytorch and is also very well documented.
    Incentivized
    Chose TensorFlow
    Can't seem to choose any deep learning platform in the above, so I'll list it here:
    1. Apache MXNet: this has been used for one of our main algorithms for search as an end-to-end pipeline. We chose this because of the Scala bindings, which makes it easier to integrate with out …
    Incentivized
    Chose TensorFlow
    TensorFlow provides a wide range of algorithms with more detail and customization options compared to others. Also, the library is advanced and updates regularly for optimization and new functions.
    Incentivized
    Chose TensorFlow
    Most of the machine learning platforms these days support integration with R and Python libraries. So, the use of reusable libraries is not an issue. TensorFlow performs well in cloud hosting and support for GPU/TPU. However, where it lacks compared to Azure is a graphical …
    Incentivized
    Chose TensorFlow
    Thought about alternatives like scikit-learn, xgboost, pytorch, caffe2, fastai exist, but they don't offer as many tools and functionality as TensorFlow does. It is better to inanest in a eco-system which is very active and well maintained by giants. Being open source, one can …
    Incentivized
    Chose TensorFlow
    Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, …
    Incentivized
    Chose TensorFlow

    Theano is a Python library and is good for making algorithms from scratch. It is an alternative to Tensor flow. We used tensor flow because it is open source Java source and easy to learn and use.

    TensorFlow is developed and maintained by Google. It's the engine behind a lot of …

    Incentivized
    Chose TensorFlow
    There are lots of competitors with this library, but I think TensorFlow is the best thing for deep learning. Although it has a sharp learning curve, it's worth learning. It easy to deploy its model on Android. Keras is very good option too it, easy. In Keras, writing the neural …
    Incentivized
    Chose TensorFlow
    I have used Keras and MATLAB along with this. Also used Caffe and pyTorch sometimes, but all of them are not as powerful as TensorFlow. Keras is in good competition with TensorFlow but Keras won't allow you a lot of customization in your algorithms. And TensorFlow gives you the …
    Incentivized
    Chose TensorFlow
    One major advantage of TensorFlow over Keras and other deep learning libraries is that it is the most powerful. It gives you power to write your own full customised algorithm that is not available in Keras. And it is fast too as compared to another tool as it can perform better …
    Incentivized
    Chose TensorFlow
    TensorFlow is much more complete to model
    Incentivized
    Chose TensorFlow
    Tensorflow has a more broad community of support.
    Incentivized
    Chose TensorFlow
    I have used Theano to develop machine learning models, like writing the neural network. TensorFlow has reinforcement learning support and lot more algorithms while Theano does come with lots of prebuilt tools. TensorFlow provides data visualisation tools and it is possible to …
    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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    User Ratings
    TensorFlow
    Likelihood to Recommend
    6.0
    (15 ratings)
    Usability
    9.0
    (1 ratings)
    Support Rating
    9.1
    (2 ratings)
    Implementation Rating
    8.0
    (1 ratings)