pytorch linear
时间: 2023-10-28 10:53:49 浏览: 95
PyTorch Linear is a module in the PyTorch library that implements a linear transformation on a given set of inputs. It is used to build and train neural networks for a wide range of applications such as image classification, natural language processing, and speech recognition.
The PyTorch Linear module is essentially a fully connected layer that takes in a set of inputs and applies a matrix multiplication operation to them along with a bias term. The output of this operation is then passed through an activation function to produce the final output.
The PyTorch Linear module can be initialized with various parameters such as the number of input and output features, the weight initialization method, and the bias initialization method. It can also be used in conjunction with other PyTorch modules such as activation functions, loss functions, and optimizers to build complex neural networks.
Overall, PyTorch Linear is a powerful and flexible tool for building and training neural networks in PyTorch.
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