7 Best AI Tools in 2020

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?