from torch import optim
时间: 2023-09-25 11:09:50 浏览: 27
from torch module, the optim package provides various optimization algorithms used for training deep learning models. These optimization algorithms are used to minimize the loss function during the training process.
Some of the widely used optimization algorithms in the optim package are:
1. Stochastic Gradient Descent (SGD)
2. Adam
3. Adagrad
4. Adadelta
5. RMSprop
These optimization algorithms differ in the way they update the model parameters during training. For example, SGD updates the parameters by taking a small step in the opposite direction of the gradient of the loss function, while Adam updates the parameters using a combination of the gradient and the momentum.
In addition to these optimization algorithms, the optim package also provides various learning rate schedulers, which adjust the learning rate during training to improve model performance.