7 best AI tools in 2020

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7 Best AI tools in 2020

• By Space-O Technologies

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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

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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

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3. Keras

• Programming language Python
• Pros Runs seamlessly on both CPU and GPU
• Cons It cant be efficiently used as an
  independent framework

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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

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5. Sci-kit Learn

• Programming language Python
• Pros Many main algorithms are available
• Cons Not very efficient with GPU

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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

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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

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Read in detail about best Ai Tools

• https//www.spaceotechnologies.com/top-ai-framewor
  ks-tools/

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Thank you!

• By the way, which is your favorite AI tool?