Difference between revisions of "PyTorch"
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PyTorch is Pythonic, which means that Python developers should feel more comfortable while coding with PyTorch than with other deep learning frameworks. This is usually highlighted as an advantage of PyTorch against TensorFlow | PyTorch is Pythonic, which means that Python developers should feel more comfortable while coding with PyTorch than with other deep learning frameworks. This is usually highlighted as an advantage of PyTorch against TensorFlow | ||
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| + | How to install PyTorch using pip: https://pytorch.org/get-started/locally/ | ||
Revision as of 16:58, 2 April 2023
PyTorch is an open-source machine learning library that is widely used for building and training neural networks. It was developed by Facebook' and was first released in 2016.
PyTorch is primarily designed for deep learning, and usually referred to as a library for deep learning, but it can also be used for traditional machine learning tasks.
PyTorch is Pythonic, which means that Python developers should feel more comfortable while coding with PyTorch than with other deep learning frameworks. This is usually highlighted as an advantage of PyTorch against TensorFlow
How to install PyTorch using pip: https://pytorch.org/get-started/locally/
