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{{main|Neural network (machine learning)}}
PyTorch defines a module called nn (<code>torch.nn</code>) to describe neural networks and to support training. This module offers a comprehensive collection of building blocks for neural networks, including various layers and activation functions, enabling the construction of complex models. Networks are built by inheriting from the <code>torch.nn</code> module and defining the sequence of operations in the <code>forward()</code> function.
== Example ==
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