across epochs
跨越时代
defining epochs
定义时代
epoch making
划时代
new epochs
新时代
epoch's end
时代末期
epoch shift
时代变迁
epoch history
时代历史
epoch dawn
时代曙光
epoch long
长久以来
epoch marked
时代标志
the model was trained over several epochs to improve accuracy.
该模型经过了几个纪元训练以提高准确性。
we analyzed the loss function across different training epochs.
我们分析了在不同训练纪元中的损失函数。
early stopping was implemented to prevent overfitting during training epochs.
为了防止训练纪元期间的过拟合,实施了早期停止机制。
each epoch involved processing the entire training dataset once.
每个纪元都涉及一次处理整个训练数据集。
the learning rate was adjusted every few epochs to optimize convergence.
每隔几个纪元调整学习率以优化收敛性。
the researchers experimented with varying the number of training epochs.
研究人员尝试改变训练纪元的数量。
we tracked the validation accuracy across multiple epochs.
我们跟踪了多个纪元中的验证准确率。
the network's performance plateaued after a certain number of epochs.
在达到一定数量的纪元后,网络的性能趋于平稳。
the training script automatically runs for a specified number of epochs.
训练脚本会自动运行指定数量的纪元。
the impact of different batch sizes was evaluated across several epochs.
在几个纪元中评估了不同批次大小的影响。
the model's weights are updated at the end of each epoch.
模型的权重在每个纪元的末尾更新。
across epochs
跨越时代
defining epochs
定义时代
epoch making
划时代
new epochs
新时代
epoch's end
时代末期
epoch shift
时代变迁
epoch history
时代历史
epoch dawn
时代曙光
epoch long
长久以来
epoch marked
时代标志
the model was trained over several epochs to improve accuracy.
该模型经过了几个纪元训练以提高准确性。
we analyzed the loss function across different training epochs.
我们分析了在不同训练纪元中的损失函数。
early stopping was implemented to prevent overfitting during training epochs.
为了防止训练纪元期间的过拟合,实施了早期停止机制。
each epoch involved processing the entire training dataset once.
每个纪元都涉及一次处理整个训练数据集。
the learning rate was adjusted every few epochs to optimize convergence.
每隔几个纪元调整学习率以优化收敛性。
the researchers experimented with varying the number of training epochs.
研究人员尝试改变训练纪元的数量。
we tracked the validation accuracy across multiple epochs.
我们跟踪了多个纪元中的验证准确率。
the network's performance plateaued after a certain number of epochs.
在达到一定数量的纪元后,网络的性能趋于平稳。
the training script automatically runs for a specified number of epochs.
训练脚本会自动运行指定数量的纪元。
the impact of different batch sizes was evaluated across several epochs.
在几个纪元中评估了不同批次大小的影响。
the model's weights are updated at the end of each epoch.
模型的权重在每个纪元的末尾更新。
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