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7 best AI tools in 2020

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Space-O Technologies
Space-O Technologies

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

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7 Best AI tools in 2020 By Space-O Technologies
1. Tensorflow Programming language: Uses an easy-to-learn language Python Pros: Keeps code lean and development efficient due to simplifications and abstractions Cons: Its slow, as Python is not the fastest of languages and lacks pre-trained models
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
3. Keras Programming language: Python Pros: Runs seamlessly on both CPU and GPU Cons: It cant be efficiently used as an independent framework
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
5. Sci-kit Learn Programming language: Python Pros: Many main algorithms are available Cons: Not very efficient with GPU
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
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
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?

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7 best AI tools in 2020

  • 1. 7 Best AI tools in 2020 By Space-O Technologies
  • 2. 1. Tensorflow Programming language: Uses an easy-to-learn language Python Pros: Keeps code lean and development efficient due to simplifications and abstractions Cons: Its 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 cant 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?