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
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
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: 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/