Skip to content

DL Frameworks

Talking about DL frameworks, we have to mention the most popular ones: TensorFlow, PyTorch, Caffe, MXNet, CNTK, and so on. They are all open source and have a large community. They are also the most popular frameworks in the industry. In this section, we will only introduce TensorFlow and PyTorch.

  • TensorFlow

    TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

    Industry-preferred

    Tutorials

  • PyTorch

    PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment. It was developed by Facebook's AI Research Group in 2016. PyTorch emphasizes flexibility and allows deep learning models to be expressed in idiomatic Python.

    Academia-preferred

    Tutorials

TensorFlow

PyTorch