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GraphLab Create vs TensorFlow: What are the differences?
What is GraphLab Create? Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale. Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.
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.
GraphLab Create can be classified as a tool in the "Machine Learning as a Service" category, while TensorFlow is grouped under "Machine Learning Tools".
Pros of GraphLab Create
- Intelligent Function Defaults1
- Fast Data Summary1
- Simple Machine Learning Tools1
Pros of TensorFlow
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
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Cons of GraphLab Create
Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
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What is GraphLab Create?
What is TensorFlow?
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What companies use GraphLab Create?
What companies use TensorFlow?
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What tools integrate with GraphLab Create?
What tools integrate with TensorFlow?
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