Tensorflow vs Pytorch vs Keras
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…