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7 Best AI tools in 2020
7 Best AI tools in 2020
By Space-O Technologies
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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/
