CSDN问答为您找到使用命令行进行NER训练时报错 AttributeError: module 'tensorflow.data' has no attribute 'experimental'，TensorFlow版本1.10.0，另外1.11.0和1.12.0也尝试过，同样报错相关问题答案，如果想了解更多关于使用命令行进行NER训练时报错 AttributeError: module 'tensorflow.data' has no attribute 'experimental'，TensorFlow版本1.10.0

python tensorflow. 158 tf. tf tf.AggregationMethod tf.argsort tf.autodiff tf.autodiff.ForwardAccumulator tf.batch_to_space tf.bitcast tf.boolean_mask tf.broadcast_dynamic_shape

二、背景. 注意，在TensorFlow 1.3中，Dataset API是放在contrib包中的： tf.contrib.data. 而在TensorFlow 1.4中，Dataset API已经从contrib包中移除，变成了核心API的一员： tf. data.

复合实现map和batch。. map_func横跨dataset的batch_size个连续元素，然后将它们组合成一个batch。. 在功能上，它相当于map 后面跟着batch。. 但是，通过将两个转换融合在一起，实现可以更有效。. 在API中展示此转换是暂时的。. 一旦自动输入管道的优化实现了，map和batch的融合会自动发生，这个API将被弃用。. 参数：.

API documentation for the Rust `MapAndBatchDataset` struct in crate `tensorflow`.

app. flags flags.

Record operations for automatic differentiation.

1. Tensorflow高效流水线Pipeline 2. Tensorflow的数据处理中的Dataset和Iterator 3. Tensorflow生成TFRecord 4.

dataset_filter() Filter a dataset by a predicate. dataset_shard() Creates a dataset that includes only 1 / num_shards of this dataset. dataset_shuffle() 8 Unlabeled data: Language model: BooksCorpus (800M words), English Wikipedia (2.5B words), WebText (8M documents, 40 GB), C4 (Common Crawl, 745 GB) GAN: unlabeled images and videos Pre-trained models and datasets built by Google and the community Overview.
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GPU和TPU可以显著缩短执行单个训练步所需的时间。实现最高性能需要高效的输入流水线，以在当前时间步完成之前为下一步提供数据。 TensorFlow的数据集 .

If you are using the keras, then TensorFlow Datasets can be used much like in-memory R matrices and arrays. If you are using the lower-level tensorflow core API then you’ll use explicit dataset iteration functions. Transforms elems by applying fn to each element unstacked on axis 0. (deprecated arguments) dataset_map_and_batch() Fused implementation of dataset_map() and dataset_batch() dataset_prepare() Prepare a dataset for analysis.
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dataset_shard() Creates a dataset that includes only 1 / num_shards of this dataset. dataset_shuffle() 8 Unlabeled data: Language model: BooksCorpus (800M words), English Wikipedia (2.5B words), WebText (8M documents, 40 GB), C4 (Common Crawl, 745 GB) GAN: unlabeled images and videos Pre-trained models and datasets built by Google and the community Overview. The TensorFlow Dataset API provides various facilities for creating scalable input pipelines for TensorFlow models, including: Reading data from a variety of formats including CSV files and TFRecords files (the standard binary format for TensorFlow training data).. Transforming datasets in a variety of ways including mapping arbitrary functions against them.

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TensorFlow,TensorFlow™是一个基于数据流编程(dataflow programming)的符号数学系统，被广泛应用于各类机器学习(machine learning)算法的编程实现，其前身是谷歌的神经网络算法库DistBelief 。

复合实现map和batch。. map_func横跨dataset的batch_size个连续元素，然后将它们组合成一个batch。.