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Microsoft Cognitive Services vs TensorFlow: What are the differences?
Microsoft Cognitive Services: APIs, SDKs, and services available to help developers build intelligent applications *. Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Transform your business with AI today; *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.
Microsoft Cognitive Services 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 Microsoft Cognitive Services is used by Megtag, Universal Electronics Inc., and Daimler Fleetboard Innovation Hub. TensorFlow has a broader approval, being mentioned in 259 company stacks & 742 developers stacks; compared to Microsoft Cognitive Services, which is listed in 12 company stacks and 3 developer stacks.
Pros of Microsoft Cognitive Services
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 Microsoft Cognitive Services
Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
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What is Microsoft Cognitive Services?
What is TensorFlow?
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What companies use Microsoft Cognitive Services?
What companies use TensorFlow?
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What tools integrate with Microsoft Cognitive Services?
What tools integrate with TensorFlow?
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