optimizer_ft=optim.Adam(parames_to_update,lr=1e-2) schedule = optim.lr_scheduler.StepLR(optimizer_ft,step_size=7,gamma=0.1)
时间: 2024-05-22 15:15:53 浏览: 16
This code block initializes an Adam optimizer with a learning rate of 0.01 and a step size of 7 for the learning rate scheduler. The learning rate scheduler multiplies the learning rate by a factor of 0.1 every 7 steps.
The optimizer is used to update the parameters of the model during training, while the learning rate scheduler adjusts the learning rate to optimize the training process.
相关问题
optimizer_ft=optim.Adam(parames_to_update,lr=1e-2)
As an AI language model, I can tell you that this line of code initializes an Adam optimizer for updating the parameters with a learning rate of 0.01. The parameters to update are specified as an argument to the optimizer, which in this case is called `parames_to_update`. The optimizer is named `optimizer_ft`.
optimizer_fp = optim.Adam(all_fp_kernels, lr=args.lr)
非常感谢您对ChitGPT的关注。关于您的问题,我可以解释一下:这段代码是使用PyTorch库中的optim模块中的Adam优化器来为所有的神经网络权重和偏置项(all_fp_kernels)指定学习率(lr)。Adam优化器是一种常用的随机梯度下降算法,用于在神经网络训练过程中优化权重和偏置项。希望这能够帮助您理解这段代码的作用。
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