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7 best AI tools in 2020

Looking for some of the best AI frameworks and tools to develop artificial intelligence apps? We have listed 7 best artificial intelligence Tools in 2020<br><br>Read in Details: https://www.spaceotechnologies.com/top-ai-frameworks-tools/

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7 best AI tools in 2020

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  1. 7 Best AI tools in 2020 By Space-O Technologies

  2. Tensorflow • Programming language: Uses an easy-to-learn language Python • Pros: Keeps code lean and development efficient due to simplifications and abstractions • Cons: It’s slow, as Python is not the fastest of languages and lacks pre-trained models

  3. 2. Microsoft CNTK • Programing languages: C++, C#, Java, and Python • Pros: It is very flexible and allows for distributed training • Cons: Implemented in Network Description Language and lacks visualization

  4. 3. Keras • Programming language: Python • Pros: Runs seamlessly on both CPU and GPU • Cons: It can’t be efficiently used as an independent framework

  5. 4. Theano • Programming language: Python • Pros: Properly optimized for CPU and GPU and efficient for numerical tasks • Cons: A bit buggy on AWS and needs to be used with other libraries to gain a high level of abstraction

  6. 5. Sci-kit Learn • Programming language: Python • Pros: Many main algorithms are available • Cons: Not very efficient with GPU

  7. 6. Caffe • Programming language: C++ • Pros: Allows for the training of models without writing code • Cons: Bad for recurrent networks and not great with new architectures

  8. 7. Torch • Programing language: C • Pros: Lots of pre-trained models available and very flexible • Cons: Documentation is quite unclear and Lua is not a very popular language

  9. Read in detail about best Ai Tools https://www.spaceotechnologies.com/top-ai-frameworks-tools/

  10. Thank you! By the way, which is your favorite AI tool?

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