Tensorflow vs Pytorch vs Keras

Dr Roushanak Rahmat
GoPenAI
Published in
4 min readDec 26, 2022

TensorFlow and PyTorch are both low-level popular open-source frameworks for deep learning.

Tensorflow is developed by Google and Pytorch is developed by Meta/Facebook.

Keras is a high-level machine learning library that is built on top of either TensorFlow or PyTorch which is designed to be more user-friendly and easier to use, with a focus on rapid prototyping and experimentation.

Key features of TensorFlow

  • Static computational graph (define and execute computational graphs, the structure of the model is defined before the model is run)
  • Support for parallelization
  • Built-in optimization algorithms
  • Tools for deploying models to production
  • Large and active community
  • Wide range of applications
  • Supports a variety of programming languages

Key features of Pytorch

  • Dynamic computational graph (the structure of the model can be modified while the model is running)
  • Interoperability with other frameworks
  • Support for parallelization
  • Built-in optimization algorithms
  • Tools for deploying models…

Create an account to read the full story.

The author made this story available to Medium members only.
If you’re new to Medium, create a new account to read this story on us.

Or, continue in mobile web

Already have an account? Sign in

Responses (1)

What are your thoughts?

Your channel is great for the ML and DL. Its worth to become 200th follower.
Thanks!