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FastText

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TensorFlow

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Pros of FastText
Pros of TensorFlow
  • 1
    Simple
  • 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 FastText
Cons of TensorFlow
  • 1
    No step by step API support
  • 1
    No in-built performance plotting facility or to get it
  • 1
    No step by step API access
  • 9
    Hard
  • 6
    Hard to debug
  • 2
    Documentation not very helpful

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What is FastText?

It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

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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Jobs that mention FastText and TensorFlow as a desired skillset
What companies use FastText?
What companies use TensorFlow?
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What tools integrate with FastText?
What tools integrate with TensorFlow?

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