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ConvNetJS

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TensorFlow

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106
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Pros of ConvNetJS
Pros of TensorFlow
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    • 32
      High Performance
    • 19
      Connect Research and Production
    • 16
      Deep Flexibility
    • 12
      Auto-Differentiation
    • 11
      True Portability
    • 6
      Easy to use
    • 5
      High level abstraction
    • 5
      Powerful

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    Cons of ConvNetJS
    Cons of TensorFlow
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      • 9
        Hard
      • 6
        Hard to debug
      • 2
        Documentation not very helpful

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      What is ConvNetJS?

      It is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat.

      What is TensorFlow?

      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

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      What companies use ConvNetJS?
      What companies use TensorFlow?
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        What tools integrate with ConvNetJS?
        What tools integrate with TensorFlow?

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