7 Best AI tools in 2020
                     7 Best AI t
ools in 20
By Space-O 
20Technologies
1.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
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 can’t 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?