PyTorch VS TensorFlow In 2022

Pros & Cons and which framework is best for you

Adapted from ProjectPro

The field of Machine and Deep Learning is developing at a rapid pace and one reason for that is the frameworks on which the field is built on top of. Today I want to compare how the two most used frameworks compare to each other in 2022.

Additionally, if you are a new ML developer or thinking about switching from your current framework to the other, I will share my take on it.

Table of Contents

• TensorFlow
• PyTorch
• Trends
• Similarities between TensorFlow and PyTorch
• Differences between TensorFlow and PyTorch
• A Brief Summary
• What I am using
• Which framework may be best for you
• Conclusion

TensorFlow

TensorFlow is one of the older interpretations of deep learning frameworks for developing neural networks introduced by Google in 2015.

As stated on its website, TensorFlow is an end-to-end open-source platform for ML, which has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art…