The `torch.nn.parameter.Parameter` class in Python's Torch library is a subclass of the `torch.Tensor` class. It represents a learnable parameter in a neural network module. Instances of this class are commonly used to define model parameters that need to be optimized during the training process. These parameters are gradients enabled by default, allowing them to undergo automatic differentiation and get updated by the optimization algorithms. The `Parameter` class provides a convenient way to manage and track such learnable parameters within a neural network model.
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