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PyTorch is an open-source machine learning library based on the Torch library. It provides a flexible and efficient platform for building and training deep learning models. PyTorch is known for its dynamic computation graph, which allows for more intuitive and dynamic model construction and debugging.

Features of PyTorch:

PyTorch provides a dynamic computation graph, which enables users to modify the network architecture during runtime.
It includes a comprehensive suite of tools and libraries for building and training neural networks, including support for GPU acceleration.
PyTorch integrates seamlessly with Python and supports various deep learning and scientific computing libraries.
The library offers extensive documentation and community support, making it accessible for both beginners and advanced users.

Access the PyTorch command-line interface and check your installation by running the following commands on your VM:

$ python
$import torch print(torch.__version__)

Disclaimer: PyTorch is an open-source project distributed under the BSD license. It is not affiliated with, endorsed by, or sponsored by any company. PyTorch is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to PyTorch hold no responsibility for any damages, losses, or consequences resulting from the use of this software. Users are advised to carefully review and comply with licensing terms and any applicable regulations while using PyTorch.

PyTorchATH Infosystems5.0(1 ratings)

PyTorch

ATH Infosystems

PyTorch

ATH Infosystems

PyTorch
ATH Infosystems
5.0(1 ratings)