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Chapter 5: The PyTorch Library
PyTorch is the following library that we need to examine. This will be a Python-based scientific computing tool that will rely on the processing power that graphics processing units can provide. To give us the most flexibility and speed possible during the process, this library will also become one of the most popular and favored deep learning platforms.
This type of library offers a wide range of advantages. Out of all the deep learning libraries, it is renowned for offering two of the highest-level features. These will feature the ability to compute tensors with the help of a powerful GPU accelerator and to construct deep neural networks using an autographed tape-based approach.
Python offers a wide variety of libraries that can assist us in a wide range of deep learning and artificial intelligence projects. The PyTorch library is one of these as well. One of the main reasons this toolkit is so effective is that it is entirely written in Python and can almost immediately handle some of the models you wish to construct with a neural network. Although this is a more recent deep-learning library, the field is also gaining a lot of momentum.
A Brief History of PyTorch
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