optimizer settings
优化器设置
optimizer tool
优化器工具
optimizer function
优化器功能
optimizer algorithm
优化算法
using an optimizer
使用优化器
optimizer performance
优化器性能
optimizer choice
优化器选择
optimizer model
优化模型
optimizer code
优化代码
optimizer process
优化过程
the software engineer used an optimizer to improve the model's performance.
软件工程师使用优化器来提高模型的性能。
we need a robust optimizer for training deep neural networks.
我们需要一个强大的优化器来训练深度神经网络。
the optimizer adjusted the learning rate during training.
优化器在训练期间调整了学习率。
choosing the right optimizer is crucial for successful machine learning.
选择合适的优化器对于成功的机器学习至关重要。
the team compared several optimizers to find the best one.
团队比较了几个优化器以找到最佳的那个。
gradient descent is a common optimization algorithm used as an optimizer.
梯度下降是一种常用的优化算法,用作优化器。
the optimizer minimized the loss function effectively.
优化器有效地最小化了损失函数。
we fine-tuned the optimizer's hyperparameters for better results.
我们微调了优化器的超参数以获得更好的结果。
the optimizer’s convergence rate was significantly improved.
优化器的收敛速度得到了显著提高。
an adaptive optimizer can adjust to different data distributions.
自适应优化器可以适应不同的数据分布。
the optimizer’s settings were carefully configured for optimal training.
优化器的设置经过精心配置,以实现最佳训练效果。
optimizer settings
优化器设置
optimizer tool
优化器工具
optimizer function
优化器功能
optimizer algorithm
优化算法
using an optimizer
使用优化器
optimizer performance
优化器性能
optimizer choice
优化器选择
optimizer model
优化模型
optimizer code
优化代码
optimizer process
优化过程
the software engineer used an optimizer to improve the model's performance.
软件工程师使用优化器来提高模型的性能。
we need a robust optimizer for training deep neural networks.
我们需要一个强大的优化器来训练深度神经网络。
the optimizer adjusted the learning rate during training.
优化器在训练期间调整了学习率。
choosing the right optimizer is crucial for successful machine learning.
选择合适的优化器对于成功的机器学习至关重要。
the team compared several optimizers to find the best one.
团队比较了几个优化器以找到最佳的那个。
gradient descent is a common optimization algorithm used as an optimizer.
梯度下降是一种常用的优化算法,用作优化器。
the optimizer minimized the loss function effectively.
优化器有效地最小化了损失函数。
we fine-tuned the optimizer's hyperparameters for better results.
我们微调了优化器的超参数以获得更好的结果。
the optimizer’s convergence rate was significantly improved.
优化器的收敛速度得到了显著提高。
an adaptive optimizer can adjust to different data distributions.
自适应优化器可以适应不同的数据分布。
the optimizer’s settings were carefully configured for optimal training.
优化器的设置经过精心配置,以实现最佳训练效果。
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