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NLTK vs TensorFlow: What are the differences?
What is NLTK? It is a leading platform for building Python programs to work with human language data. It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
What is TensorFlow? Open Source Software Library for Machine Intelligence. 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.
NLTK and TensorFlow can be primarily classified as "Machine Learning" tools.
Uber Technologies, 9GAG, and Postmates are some of the popular companies that use TensorFlow, whereas NLTK is used by Index.co, Athento, and King's Digital Lab. TensorFlow has a broader approval, being mentioned in 259 company stacks & 742 developers stacks; compared to NLTK, which is listed in 15 company stacks and 17 developer stacks.
Pros of NLTK
Pros of TensorFlow
- High Performance23
- Connect Research and Production16
- Deep Flexibility13
- Auto-Differentiation9
- True Portability9
- Easy to use2
- High level abstraction2
- Powerful1
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Cons of NLTK
Cons of TensorFlow
- Hard8
- Hard to debug5
- Documentation not very helpful1
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What is NLTK?
What is TensorFlow?
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What companies use NLTK?
What companies use TensorFlow?
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What tools integrate with NLTK?
What tools integrate with TensorFlow?
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