- 1
Quite simple and transparent
Thanks to the architecture of the framework, the process of creating a model is quite simple and transparent.
- 2
The default “define-by-run” mode is a reference to traditional programming
The default “define-by-run” mode is a reference to traditional programming. The framework supports popular debugging tools like pdb, ipdb or PyCharm debugger
- 3
Easy to combine
It has many pre-trained models and prefabricated modular parts that are easy to combine.
- 4
Declarative data concurrency
It supports declarative data concurrency.
PyTorch.
PyTorch is a modern deep learning library developing under the wing of Facebook. It does not look like other popular libraries such as Caffe, Theano, and TensorFlow. It allows researchers to realize their wildest fantasies, and engineers easily implement these fantasies.
