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Everything You Need to Know About PyTorch

Every once in a while, a new library of Python is released that has the potential of changing the scenario of machine learning (ML) and deep learning. PyTorch is one such library.

Maintained and released by Facebook back in 2016 PyTorch is by far one of the most popular ML and deep learning libraries. PyTorch is leaning towards Python as its primary programming language.
Companies like Facebook, Lockheed Martin, Nike, and JPMorgan use PyTorch to build machine learning models and conduct ML research. There are reportedly over 12,050 companies recorded using PyTorch, with annual growth of over 35%.

PyTorch is comparatively easier to learn compared to other deep learning frameworks. This is because its syntax and application are similar to many conventional programming languages such as Python.

It has a simple Python interface and provides a simple yet powerful Application Programming Interface (API). PyTorch can also be easily implemented on both Windows and Linux.
This Python library is also well-recognized by major cloud platforms, allowing developers and researchers to do large-scale training jobs on GPUs with PyTorch.

Advantages of PyTorch: 1:47
Technical: 3:11
PyTorch 1.9 Rollout: 5:27
Official Documentation For Installation Link: https://pytorch.org/get-started/locally/

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