在 中文 中使用 Batch 的示例及其翻译为 英语
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其中m为batch的大小。
Batchfile中的其他条件.
There is more in the batch file.如果大于batchfile.
Much better than a batch file.最简单的task就是一个简单batch。
The simplest problem is simple bathos.Epoch由一个或多个Batch组成。
BatchNorm有轻微的正则化效果.
Epoch由一个或多个Batch组成。
One epoch is comprised of 1 or more batches.相反，MiniBatchKMeans收敛速度受batch大小影响。
Conversely, MiniBatchKMeans convergence rate is affected by the batch size.Iteration：是指运行一个epoch所需的batch数。
Iterations: This is the number of Batches that are necessary to reach an epoch.在训练过程中，我们设batch的大小为256，learningrate为0.001。
我正在寻找命令提示符命令或batchfile解决scheme。
I know about At和batch从标准输入设备或一个特定的文件读入命令,然后在以后用/bin/sh执行.
At and batch read commands from standard input or a specified file which are to be executed at a later time, using/bin/sh.但微软发言人克里斯滕·巴奇(KristenBatch)表示，该公司还不准备针对企业用户宣布任何计划。
Kristen Batch, a spokeswoman for Microsoft, said the company was not ready to announce its plans for business customers.Batch大小是一个超参数，用于定义在更新内部模型参数之前要处理的样本数。
The batch size is a hyperparameter that defines the number of samples to work through before updating the internal model parameters.在备用的“用户订阅”模式下，会在创建池后直接在订阅中创建BatchVM和其他资源。
In the alternative user subscription mode, Batch VMs and other resources are created directly in your subscription when a pool is created.AWSBatch已与AWS平台进行本地集成，让您能够利用AWS的扩展、联网和访问管理功能。
Aws batch is fully integrated with the AWS platform which will allow you to use the networking, scaling and management functions of the AWS.我们使用随机梯度下降训练我们的模型，batch大小为128，momentum0.9，权重衰减率0.0005。
We trained our models using stochastic gradient descent with a batch size of 128 examples, momentum of 0.9, and weight decay of 0.0005.批归一化（BatchNormalization）是深度学习发展中的一项里程碑技术，它让各种网络都能够进行训练。
Abstract: Batch Normalization(BN) is a milestone technique in the development of deep learning, enabling various networks to train.我们使用随机梯度下降来训练我们的模型，样本的batchsize为128，动量为0.9，权重衰减为0.0005。
We trained our models using stochastic gradient descent with a batch size of 128 examples, momentum of 0.9, and weight decay of 0.0005.AWSBatch让开发人员、科学家和工程师能够轻松高效地在AWS上运行成千上万项批处理计算任务。
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS.对预训练任务而言，batchsize和最大路径长度分别为50000和500，这与基准中的超参数是一样的。
For the pre-training tasks, the batch size and the maximum path length are 50,000 and 500 respectively, the same with in the benchmark[5].BatchNormalization可以避免x值经过非线性激活函数后趋于饱和的现象。
Batch normalization can help us avoid the phenomenon that the value of x falls into saturation after going through non-linear activation functions.最大的限制是：PCA只支持批处理（batchprocessing），这意味着所有的数据都会被处理，在内存中进行fit。
The biggest limitation is that PCA only supports batch processing, which means all of the data to be processed must fit in main memory.AdvancedBatchConverter先进的批量转换正是它的标题所暗示的，允许你很容易地一个按钮转换多个图形文件。
Advanced Batch Converter does exactly what its title suggests, allowing you to easily convert multiple graphics files at the click of a button.对于大型任务，AmazonRekognition可以与AWSBatch流程协同工作，并分析存储在AmazonS3中的数千个图像或视频。
For large jobs,Amazon Rekognition can work together with AWS Batch process and analyze thousands of images or videos stored in Amazon S3.最后，我们考虑了用于提升SGD性能的其他策略，例如shuffling与curriculumlearning，batchnormalization以及earlystopping。
Finally, we have considered other strategies to improve SGD such as shuffling andcurriculum learning, batch normalization, and early stopping.例如，MobileNetCaffe模型使用了批量归一化（BatchNormalization）层，我验证了这些转换也存在于mlmodel文件中。
For example, the MobileNet Caffe model uses so-called Batch Normalization layers and I verified that these are also present in the converted mlmodel file.还能使用多种高级层比如Dropout或Batch正则化，以及自适应学习率技术比如Adadelta和Adam。
Several advanced layers such as dropout or batch normalization are also available as well as adaptive learning rates techniques such as Adadelta and Adam.
