7 Best AI tools in 2020 By Space-O Technologies
1. Tensorflow ●
Programming language: Uses an easy-to-learn language Python
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Pros: Keeps code lean and development efficient due to simplifications and abstractions
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Cons: It’s slow, as Python is not the fastest of languages and lacks pre-trained models
2. Microsoft CNTK ●
Programing languages: C++, C#, Java, and Python
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Pros: It is very flexible and allows for distributed training
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Cons: Implemented in Network Description Language and lacks visualization
3. Keras ●
Programming language: Python
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Pros: Runs seamlessly on both CPU and GPU
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Cons: It can’t be efficiently used as an independent framework
4. Theano ●
Programming language: Python
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Pros: Properly optimized for CPU and GPU and efficient for numerical tasks
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Cons: A bit buggy on AWS and needs to be used with other libraries to gain a high level of abstraction
5. Sci-kit Learn ●
Programming language: Python
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Pros: Many main algorithms are available
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Cons: Not very efficient with GPU
6. Caffe ●
Programming language: C++
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Pros: Allows for the training of models without writing code
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Cons: Bad for recurrent networks and not great with new architectures
7. Torch ●
Programing language: C
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Pros: Lots of pre-trained models available and very flexible
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Cons: Documentation is quite unclear and Lua is not a very popular language
Read in detail about best Ai Tools https://www.spaceotechnologies.com/top-ai-frameworks-tools/
Thank you! By the way, which is your favorite AI tool?
