The document lists the seven best AI tools in 2020, discussing their programming languages, pros, and cons. Key tools include TensorFlow for its simplicity, Microsoft CNTK for flexibility, Keras for compatibility with CPU and GPU, and others like Theano, Sci-kit Learn, Caffe, and Torch, each with unique benefits and drawbacks. It provides a link for more detailed information about these AI frameworks and tools.

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: 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?