How To Select Between - PyTorch , Keras or Tensorflow?
This post explains How To Select Between PyTorch , Keras or Tensorflow. We will see each of these and come at a Non-Politically Correct decision.
1. Tensorflow:
- TensorFlow is an open-source DL library from Google.
- The latest version of Tensorflow is 2.0+. However the Tensorflow documentation doesn't appear to be that much easy-to-digest and comprehend. And as such it is not as widely adopted as the other Deep Learning Frameworks. To be brutally Honest this adds a pinch of salt against Tensorflow.
- Also Tensorflow is not a quick-to-learn easy-to-use kind of framework. It is Good but there is a Learning curve involved
- Also Tensorflow appears to keep changing quite frequently due to the frequent releases.
2. Keras:
- Keras is an API on Top of Tensorflow (You can use it over other DL frameworks also)
- Thus Keras hides lots of complexity and complicacy , behind the scene, making it easier to learn and use.
- However since it is an API , it gets its advantage in the form of Speed and Agility.
3. PyTorch:
- As the name suggests , PyTorch is quite Pythonic in its nature and behaviour. Which makes it easy to use and learn.
- It is easy to try and quick to implement any new ideas or research pointers.
- The Popular Deep Learning tutorila Fast.ai is based on PyTorch - which makes it attractive as well.
- To Put things Straight - Pytorch is Simple and very quick to make Solution Prototype.